{"id":"W4253596882","doi":"10.1503/cmaj.060701","title":"Corrections","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Text mining; Information retrieval; World Wide Web; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004780566,0.001587934,0.001182355,0.00620302,0.004062738,0.005441435,0.003482163,0.004351169,0.346325],"category_scores_gemma":[0.1109687,0.001027849,0.001846056,0.003585381,0.001862629,0.004165172,0.002857743,0.007681368,0.2152098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005168945,"about_ca_system_score_gemma":0.006333856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804972,"about_ca_topic_score_gemma":0.01946186,"domain_scores_codex":[0.9908776,0.001415942,0.001195552,0.001335101,0.004421988,0.0007538273],"domain_scores_gemma":[0.9166071,0.009716141,0.002703792,0.006631497,0.06181934,0.0025221],"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":[0.00001547054,0.000002878804,0.00004102897,0.00003414929,0.000002509813,0.00004052766,0.00002892511,0.00001438071,0.00002526415,0.001479106,0.9932134,0.00510241],"study_design_scores_gemma":[0.00001327567,0.000007067621,0.0003273735,0.0001173635,0.000006647316,0.000124729,0.00007687749,0.00004812568,0.00009926641,0.001815625,0.9973482,0.00001542794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004355836,0.001254838,0.002042404,0.1071356,0.8253149,0.0001694011,0.008069398,0.002058879,0.05351894],"genre_scores_gemma":[0.01357113,0.002825672,0.005318272,0.05948763,0.1256803,0.0003805202,0.01141464,0.003824351,0.7774975],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.346325,"threshold_uncertainty_score":0.9323881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216882081812895,"score_gpt":0.1753657440841485,"score_spread":0.1631969232660195,"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."}}