{"id":"W6977460871","doi":"10.6084/m9.figshare.27246065.v1","title":"Additional file 2 of Individual, community and health systems factors influencing time to notification of tuberculosis: situating software and hardware bottlenecks in local health systems","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Software; Healthcare system; Software system; Information system; System integration; File system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001977813,0.001063692,0.001053649,0.004075015,0.001083645,0.00184939,0.001994586,0.001494108,0.9035128],"category_scores_gemma":[0.05991092,0.0007580214,0.001345178,0.005691072,0.0003033243,0.00267013,0.001166867,0.001071043,0.1362447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243796,"about_ca_system_score_gemma":0.002881463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02872105,"about_ca_topic_score_gemma":0.03101288,"domain_scores_codex":[0.9987653,0.0002644608,0.0002543509,0.0002445567,0.0002505841,0.0002206707],"domain_scores_gemma":[0.9301806,0.05658833,0.003880058,0.002773049,0.005344389,0.001233591],"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":[0.0004268814,0.0002399609,0.01425241,0.004565139,0.0001169652,0.0001087406,0.0002566766,0.001418786,0.00008306662,0.001096826,0.9629267,0.0145079],"study_design_scores_gemma":[0.01058304,0.001053156,0.2946705,0.009737459,0.0007360004,0.001055374,0.004864592,0.01178741,0.0009913957,0.02123312,0.6428618,0.0004261939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005585269,0.00000986299,0.0002847287,0.00009094618,0.00001885483,0.00008515547,0.9977832,0.0001632691,0.001005445],"genre_scores_gemma":[0.04676754,0.0001391795,0.008899185,0.001038759,0.000152529,0.00431229,0.9198834,0.001082787,0.0177242],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09648716,"threshold_uncertainty_score":0.1376271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08316855729935005,"score_gpt":0.3457476355603578,"score_spread":0.2625790782610078,"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."}}