{"id":"W4253985914","doi":"10.1503/cmaj.060517","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; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01120045,0.002156226,0.001596921,0.006290194,0.004564135,0.007000414,0.004135765,0.004232777,0.3210387],"category_scores_gemma":[0.2163465,0.001117933,0.002041683,0.004851253,0.0028548,0.004769236,0.004177528,0.008650142,0.2136168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007256794,"about_ca_system_score_gemma":0.01192392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019845,"about_ca_topic_score_gemma":0.02398691,"domain_scores_codex":[0.9776393,0.00334941,0.002737628,0.002979763,0.01173509,0.001558826],"domain_scores_gemma":[0.8012724,0.02191152,0.006115981,0.01448677,0.1511807,0.005032613],"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":[0.00001763335,0.000002915475,0.00005375879,0.00005665976,0.000002721843,0.00003641334,0.00006165299,0.00002433791,0.00003084483,0.001365829,0.9899288,0.008418426],"study_design_scores_gemma":[0.00001137239,0.000008212119,0.0002543191,0.0002071501,0.000006837868,0.0001390251,0.0001059375,0.00005901003,0.0001222372,0.001366613,0.9976999,0.00001932785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0005142915,0.00200953,0.005951162,0.1499683,0.7801174,0.000244988,0.01257237,0.005987773,0.04263422],"genre_scores_gemma":[0.01558252,0.004179366,0.01446916,0.09108288,0.08261713,0.0006020307,0.01895798,0.01173404,0.7607749],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3210387,"threshold_uncertainty_score":0.9684559,"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."}}