{"id":"W2179581006","doi":"10.1093/cid/civ610","title":"Collaborative Effort for a Centralized Worldwide Tuberculosis Relational Sequencing Data Platform: Figure 1.","year":2015,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; World Health Organization; Bill and Melinda Gates Foundation","keywords":"Medicine; General partnership; Tuberculosis; Data science; Public health; Knowledge management; Computer science; Business; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0627057,0.001582703,0.001178283,0.004789152,0.002941986,0.009102147,0.005799617,0.002836389,0.05288373],"category_scores_gemma":[0.04012028,0.001306615,0.001486274,0.004264349,0.001207221,0.007958678,0.01330759,0.004980417,0.03785653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005431856,"about_ca_system_score_gemma":0.04405111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01326008,"about_ca_topic_score_gemma":0.01313533,"domain_scores_codex":[0.9717565,0.009774314,0.002116203,0.005651277,0.00825508,0.002446725],"domain_scores_gemma":[0.8999671,0.007663524,0.005021229,0.02263694,0.03938967,0.02532147],"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":[0.0008646078,0.001060774,0.01327025,0.0009069165,0.0003525116,0.0007402471,0.001981248,0.003398314,0.02292075,0.02782248,0.5323445,0.3943374],"study_design_scores_gemma":[0.0002577396,0.0003962104,0.006979753,0.0005757408,0.0001282441,0.0006271267,0.0009867114,0.01027228,0.005809613,0.01105631,0.9627538,0.0001564084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.01996163,0.002428573,0.7524671,0.05313382,0.006685126,0.0122712,0.0228276,0.03505776,0.09516721],"genre_scores_gemma":[0.0631621,0.0009273118,0.8063155,0.01268108,0.00136079,0.003694635,0.0544672,0.004928442,0.05246282],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0627057,"threshold_uncertainty_score":0.3316234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1865343814781343,"score_gpt":0.4489437453988945,"score_spread":0.2624093639207603,"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."}}