{"id":"W4249345329","doi":"10.1503/cmaj.110-2008","title":"Correction: Review","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Information retrieval; Data science; World Wide Web; Text mining; Natural language processing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003976084,0.002022357,0.002158053,0.006169504,0.001310871,0.003684527,0.003650421,0.006070035,0.1035188],"category_scores_gemma":[0.05754294,0.0007838218,0.002087751,0.003480689,0.001941814,0.004086887,0.0028349,0.006473225,0.08850596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003615012,"about_ca_system_score_gemma":0.007200722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005622638,"about_ca_topic_score_gemma":0.005756851,"domain_scores_codex":[0.9957022,0.000778078,0.000785189,0.0006384881,0.001723168,0.0003728881],"domain_scores_gemma":[0.9713098,0.00637687,0.002180685,0.001629837,0.01720022,0.001302666],"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":[0.00001046314,0.000002139286,0.00001290327,0.0005844838,0.000009787089,0.00009171994,0.000009047953,0.00001037528,0.0000161994,0.0002342944,0.9856542,0.01336439],"study_design_scores_gemma":[0.00001900659,0.000007366101,0.0000988122,0.001389897,0.00002519676,0.0005215665,0.00001405095,0.00001034309,0.00004515599,0.0003500165,0.997508,0.00001058101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006583105,0.06563055,0.000513708,0.07344864,0.8495141,0.00006900731,0.001154509,0.000262638,0.009341071],"genre_scores_gemma":[0.004143942,0.1716418,0.002138262,0.1610847,0.5553927,0.0002980989,0.002923123,0.0007931851,0.1015842],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1035188,"threshold_uncertainty_score":0.3463047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005813665436390286,"score_gpt":0.2571813326529009,"score_spread":0.2513676672165106,"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."}}