{"id":"W4232209855","doi":"10.1503/cmaj.060518","title":"Corrections","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Information retrieval; World Wide Web","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":[0.008251548,0.001942317,0.001460322,0.00411496,0.004585111,0.004750051,0.003697919,0.004678879,0.2326797],"category_scores_gemma":[0.1595352,0.001084131,0.001691941,0.003359213,0.002196528,0.003265579,0.002686258,0.008598052,0.1260453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00626902,"about_ca_system_score_gemma":0.008116885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02539359,"about_ca_topic_score_gemma":0.03070222,"domain_scores_codex":[0.9862853,0.002525561,0.001721252,0.001842735,0.006550543,0.001074579],"domain_scores_gemma":[0.8770955,0.01859559,0.004752971,0.007489348,0.08915052,0.002916124],"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":[0.00001534172,0.000002527252,0.00006806161,0.00002739721,0.000002710935,0.00006803435,0.0000361046,0.00001796162,0.00001729226,0.001000067,0.9927834,0.005961078],"study_design_scores_gemma":[0.00001273214,0.000009551073,0.000345904,0.0001706507,0.000007995921,0.0003565501,0.000127971,0.00009126349,0.0001212011,0.001195997,0.9975426,0.00001746794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004597405,0.00158694,0.003069492,0.2040975,0.7535537,0.000120931,0.004993898,0.001877681,0.03024017],"genre_scores_gemma":[0.02167043,0.00416375,0.008345592,0.1479414,0.09414592,0.0003806054,0.009062498,0.00359496,0.7106948],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2326797,"threshold_uncertainty_score":0.778391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900083396705569,"score_gpt":0.3534693324362247,"score_spread":0.334468498469169,"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."}}