{"id":"W4251268813","doi":"10.1503/cmaj.1040949","title":"Corrections","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002647272,0.001278904,0.0007225871,0.00250233,0.003385549,0.003559783,0.002581722,0.004505011,0.1904463],"category_scores_gemma":[0.06504755,0.0006273477,0.001182694,0.001125134,0.00159265,0.002409843,0.001875105,0.007417088,0.1002149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003056859,"about_ca_system_score_gemma":0.004273416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0176675,"about_ca_topic_score_gemma":0.02386935,"domain_scores_codex":[0.9949216,0.0007134037,0.0005595768,0.0008261103,0.002463542,0.0005157788],"domain_scores_gemma":[0.9600584,0.006580255,0.001513032,0.002169846,0.0280289,0.001649664],"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":[0.00001591065,0.000003922456,0.00006188804,0.00002981369,0.00000209942,0.0001098512,0.00003460013,0.00001042837,0.00003510812,0.00107044,0.9928437,0.005782187],"study_design_scores_gemma":[0.000008286858,0.000006676648,0.0002810626,0.00006173133,0.000003635678,0.0002450493,0.00007001703,0.00003458945,0.00008786962,0.0007834135,0.9984072,0.00001068234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000388055,0.001027765,0.000982946,0.1800562,0.7797402,0.0000910934,0.00188339,0.001065776,0.03476457],"genre_scores_gemma":[0.01487862,0.002444771,0.003450237,0.1557133,0.1765469,0.0002106865,0.002693066,0.001611857,0.6424506],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1904463,"threshold_uncertainty_score":0.6371065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004859138672553488,"score_gpt":0.226027359248121,"score_spread":0.2211682205755675,"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."}}