{"id":"W2021457519","doi":"10.1164/rccm.200802-251ed","title":"Predicting Tuberculosis","year":2008,"lang":"en","type":"letter","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Tuberculosis; Intensive care medicine; 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":[0.001848104,0.0003704941,0.0006585368,0.0009586684,0.001713495,0.001800224,0.0007171114,0.007037849,0.00816243],"category_scores_gemma":[0.01863487,0.0003302692,0.0005263468,0.0004315731,0.0005145305,0.001392753,0.0005927577,0.00818304,0.003907822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214684,"about_ca_system_score_gemma":0.001465929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004316104,"about_ca_topic_score_gemma":0.009491396,"domain_scores_codex":[0.9985067,0.0005857533,0.0001634074,0.0001737122,0.0002914536,0.0002789024],"domain_scores_gemma":[0.9934397,0.002621718,0.0004038049,0.000348503,0.001639892,0.001546377],"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":[0.000224549,0.0001974012,0.1442048,0.00006371018,0.00005326567,0.003901678,0.000176661,0.0002506191,0.0004827282,0.002264505,0.7596225,0.08855748],"study_design_scores_gemma":[0.0005666986,0.0008026267,0.2013536,0.00206145,0.0005359741,0.04020697,0.002323766,0.01120575,0.001808123,0.04601678,0.6929545,0.000163794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02431159,0.005054079,0.0005947982,0.9116111,0.01915323,0.00003243129,0.0003266647,0.0001001959,0.03881589],"genre_scores_gemma":[0.3973795,0.005310335,0.002385213,0.492516,0.08160736,0.00009479053,0.0007328953,0.00005294295,0.01992098],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.00816243,"threshold_uncertainty_score":0.02730608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640476132284863,"score_gpt":0.354527693836288,"score_spread":0.3181229325134393,"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."}}