{"id":"W4255374102","doi":"10.1503/cmaj.071790","title":"Correction","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health Services Management and Policy","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Text mining; Data science; Natural language processing","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":[0.004341857,0.002115443,0.001437627,0.003409973,0.004163554,0.005121588,0.004049493,0.009817393,0.1725453],"category_scores_gemma":[0.08457043,0.000977885,0.002025954,0.002302314,0.002531492,0.00328457,0.0021929,0.01351654,0.1139262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005342141,"about_ca_system_score_gemma":0.009171252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02905877,"about_ca_topic_score_gemma":0.0310784,"domain_scores_codex":[0.9920663,0.001010873,0.0008732634,0.001028451,0.003844397,0.001176778],"domain_scores_gemma":[0.9529024,0.01104043,0.002362837,0.002624483,0.02902133,0.00204843],"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":[0.000007853706,0.000001495973,0.0000204581,0.0000236117,0.000001588082,0.00003438146,0.000009913369,0.000004522123,0.000006551362,0.0003224163,0.9980709,0.001496395],"study_design_scores_gemma":[0.00002334702,0.00000933202,0.0003787581,0.0002075267,0.00000813403,0.0001759463,0.00005735017,0.00004189814,0.00007010873,0.0008368324,0.9981724,0.00001832543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00009499646,0.0007060154,0.000268557,0.1527021,0.832594,0.00004202065,0.002352997,0.0005712157,0.01066815],"genre_scores_gemma":[0.008929381,0.003743561,0.001775817,0.2729134,0.3449252,0.0003125544,0.004095326,0.001306657,0.3619982],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1725453,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03688231410657675,"score_gpt":0.3825314563737026,"score_spread":0.3456491422671258,"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."}}