{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3793817,0.0006024839,0.002173507,0.008287153,0.001918631,0.008106296,0.004984336,0.001975177,0.003579836],"category_scores_gemma":[0.7294002,0.001078623,0.002127892,0.01317796,0.00300093,0.008161971,0.006901174,0.004655494,0.001202011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005673094,"about_ca_system_score_gemma":0.031214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01922225,"about_ca_topic_score_gemma":0.01923099,"domain_scores_codex":[0.418865,0.4221699,0.1063896,0.009897459,0.03897558,0.003702421],"domain_scores_gemma":[0.1399848,0.3877711,0.1108845,0.1682954,0.185372,0.007692204],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001084045,0.0003302072,0.5614951,0.006014433,0.001223968,0.0001188107,0.005329005,0.002721817,0.001211931,0.0182863,0.06212591,0.3400585],"study_design_scores_gemma":[0.0007072068,0.001845721,0.6021254,0.0263044,0.001876722,0.0006476309,0.006256764,0.01498354,0.01133252,0.03492568,0.2982721,0.0007223757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1784265,0.0246354,0.3667119,0.2577506,0.008280826,0.01508767,0.1159926,0.001911358,0.03120309],"genre_scores_gemma":[0.6372952,0.007232593,0.2890624,0.02344312,0.002262714,0.006827757,0.03144684,0.0004944617,0.001934806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3793817,"threshold_uncertainty_score":0.7653329,"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."}}