{"id":"W3000337579","doi":"10.3201/eid2603.190997","title":"Improving Quality of Patient Data for Treatment of Multidrug- or Rifampin-Resistant Tuberculosis","year":2020,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"World Health Organization","keywords":"Observational study; Tuberculosis; Medicine; Intensive care medicine; Multiple drug resistance; Antibiotics; Internal medicine; Pathology; Biology; Microbiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001787451,0.0001938018,0.0007888335,0.00009317842,0.00008038685,0.000005775704,0.0001342669,0.00005969762,0.0001010073],"category_scores_gemma":[0.006539831,0.0001376852,0.000264265,0.0002238455,0.0001123921,0.00008929443,0.0001218225,0.00004758915,0.000003567924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000975524,"about_ca_system_score_gemma":0.0002183014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003023597,"about_ca_topic_score_gemma":0.0001897462,"domain_scores_codex":[0.9980413,0.0001834241,0.0007113172,0.0004635256,0.0002482396,0.000352224],"domain_scores_gemma":[0.9975224,0.0009564397,0.0002802926,0.0006727564,0.0001895464,0.0003786022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01268801,0.0054829,0.7731305,0.005510265,0.002469576,0.00003365387,0.001487037,0.000466564,0.07247696,0.0002238639,0.009510619,0.1165201],"study_design_scores_gemma":[0.03809359,0.05104203,0.6878126,0.0008274945,0.005059012,0.00002621102,0.003560124,0.09143616,0.04991073,0.0002541283,0.07010511,0.001872795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930813,0.001347707,0.0006854492,0.00183659,0.0001612404,0.0009588191,0.00173419,0.0000917148,0.000103027],"genre_scores_gemma":[0.9978919,0.0004195499,0.0005854261,0.0002989269,0.00017413,0.0001074094,0.0004811119,0.00002714042,0.00001438085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146473,"threshold_uncertainty_score":0.7829261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08913036099128868,"score_gpt":0.3928432853628179,"score_spread":0.3037129243715292,"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."}}