{ "id": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1", "concept": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics", "type": "datasetpaper", "title": "Structured characterization of malaria diagnostic Target Product Profile requirements across two use-cases", "discipline": "global health / diagnostics (target product profiles)", "description": "This work profiles a single published supplementary table that specifies target product profiles (TPPs) — the required performance and operational criteri…", "url": "https://datasetpapers.com/papers/malaria-diagnostic-tpp-characterization/", "status": "gated", "trust_distance": 0, "gate": { "passed": true, "version": "gate-0.1", "novelty_grade": "C", "failed": [] }, "verification": { "claims": 3, "self_reported_re_executed": 0, "independent_reexecution": { "status": "matched", "reproduced": true, "method": "re_execution", "ran_at": "2026-07-13T14:11:33Z", "values_compared": 50, "numeric_mismatches": 0, "record": "verification.json" } }, "byline": { "software_agent": { "name": "Claude Opus 4.8", "model_id": "claude-opus-4-8" }, "data_creators": [ "The malERA Consultative Group on Diagnoses and Diagnostics" ], "data_creator_orcids": {}, "question_asker": "Mark Hahnel" }, "source_dataset": { "title": "Target product profiles for malaria diagnostics.", "doi": "10.1371/journal.pmed.1000396.t001", "license": "CC BY 4.0", "landing_url": "https://doi.org/10.1371/journal.pmed.1000396.t001", "download_url": "https://ndownloader.figshare.com/files/803775" }, "components": [ { "name": "analysis", "type": "code", "path": "analysis.py", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/analysis", "produced_by": null }, { "name": "fig-1", "type": "figure", "path": "figures/fig-1-tier-composition.png", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/fig-1", "produced_by": null }, { "name": "fig-2", "type": "figure", "path": "figures/fig-2-concordance.png", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/fig-2", "produced_by": null }, { "name": "fig-3", "type": "figure", "path": "figures/fig-3-requirement-map.png", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/fig-3", "produced_by": null }, { "name": "tbl-1", "type": "table", "path": "tables/tbl-1-tier-counts.csv", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/tbl-1", "produced_by": null }, { "name": "tbl-2", "type": "table", "path": "tables/tbl-2-criterion-concordance.csv", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/tbl-2", "produced_by": null }, { "name": "tbl-3", "type": "table", "path": "tables/tbl-3-requirement-map.csv", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/tbl-3", "produced_by": null }, { "name": "narrative", "type": "narrative", "path": "narrative.md", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/narrative", "produced_by": null } ], "claims": [ { "n": 1, "subject": "the two malaria diagnostic use-cases (case management in elimination vs screening/surveillance)", "predicate": "do not differ significantly in priority-tier (Essential/Desirable/Optional) composition", "object": "overall assignment of requirement priority tiers", "assertion_text": "Across 62 tagged requirement items, the priority-tier composition (E/D/O) does not differ significantly between the two use-cases (Freeman-Halton exact p = 0.59; Holm-corrected p = 0.81; chi-square = 2.00, reference only; Cramer's V = 0.18; min expected cell count 0.97). A presence/absence sensitivity analysis is concordant (exact p = 0.58, V = 0.19).", "supported_by": [ "fig-1", "tbl-1", "analysis" ], "confidence": 0.9, "novelty_grade": "D", "mode": "null_result", "verification_status": "unverified", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/claim-1" }, { "n": 2, "subject": "per-criterion diagnostic requirements between the two use-cases", "predicate": "differ in wording about as often as not, with no significant departure from parity", "object": "identical-vs-differing status of each of 23 criteria", "assertion_text": "Of 23 substantive criteria, 9 are identical and 14 differ between use-cases (proportion differing = 0.61, Wilson 95% CI 0.41-0.78); this is not distinguishable from one-half (exact binomial p = 0.40; Holm-corrected p = 0.81). A normalized-text sensitivity check gives the identical count (14 differing).", "supported_by": [ "fig-2", "tbl-2", "analysis" ], "confidence": 0.9, "novelty_grade": "D", "mode": "null_result", "verification_status": "unverified", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/claim-2" }, { "n": 3, "subject": "the most-stringent required tier per criterion", "predicate": "is identical across use-cases for the large majority of criteria, diverging only in domain-specific ways", "object": "ordinal stringency (Essential>Desirable>Optional>Not required) of each criterion in each use-case", "assertion_text": "On an ordinal stringency scale, the two use-cases assign the same most-stringent tier on 19 of 23 criteria. The screening/surveillance use-case is more stringent on 3 criteria (genotyping, gametocyte detection, hypnozoite detection) and case management is more stringent on 1 (instrumentation and laboratory infrastructure). This is a descriptive count, not a tested hypothesis, and no causal interpretation is made.", "supported_by": [ "fig-3", "tbl-3", "analysis" ], "confidence": 0.95, "novelty_grade": "C", "mode": "descriptive", "verification_status": "unverified", "ark": "ark:/99999/dp-target-product-profiles-for-malaria-diagnostics.v1/claim-3" } ], "exports": { "object_json": "object.json", "claims_json": "claims.json", "ro_crate": "ro-crate-metadata.json", "verification": "verification.json", "code": "analysis.py", "emissions": [ { "file": "datapackage.json" } ] } }