{"id":"W4318703312","doi":"10.1186/s12961-022-00956-6","title":"Tracking health system performance in times of crisis using routine health data: lessons learned from a multicountry consortium","year":2023,"lang":"en","type":"letter","venue":"Health Research Policy and Systems","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Minderoo Foundation; World Health Organization; Fonds de Recherche du Québec - Santé; Bill and Melinda Gates Foundation","keywords":"Medicine; Health informatics; Health indicator; Health care; Public health; Health services research; Health policy; Population; Global health; Environmental health; Economic growth; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01260116,0.0005167369,0.002976925,0.001530561,0.0007342096,0.0001374302,0.0005883088,0.0006521979,0.000008149542],"category_scores_gemma":[0.000618419,0.0004439373,0.00009580871,0.001266891,0.0002461621,0.000182934,0.0004614036,0.004050517,0.00003858346],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003254665,"about_ca_system_score_gemma":0.01229223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5232944,"about_ca_topic_score_gemma":0.001853656,"domain_scores_codex":[0.9868959,0.003802652,0.002820638,0.001343278,0.002214194,0.002923398],"domain_scores_gemma":[0.9946945,0.001008163,0.001279878,0.001558236,0.0004516153,0.001007648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004665171,0.0002186113,0.01814795,0.1997799,0.0002558539,0.0003866569,0.005009208,0.00008258146,0.000006342083,0.00119226,0.7696983,0.00475587],"study_design_scores_gemma":[0.008915707,0.003548339,0.06717739,0.1415187,0.00007632191,0.001146394,0.02009746,0.06412479,0.000006120873,0.000152699,0.6919757,0.001260381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0325814,0.01782384,0.00001663268,0.9404623,0.0006483388,0.003436982,0.004687538,0.0001513937,0.000191572],"genre_scores_gemma":[0.7247636,0.02762186,0.0001662771,0.2347991,0.009116273,0.0001007522,0.002175942,0.0002264233,0.001029659],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7056631,"threshold_uncertainty_score":0.9998012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5447954065352311,"score_gpt":0.5366456756197678,"score_spread":0.008149730915463227,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}