{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002181547,0.00006843291,0.0001217105,0.0001687288,0.002227937,0.00003915852,0.00009949516,0.0004869107,0.01378402],"category_scores_gemma":[0.001654775,0.00006359595,0.00004577439,0.0002888259,0.00001267375,0.0001171908,0.000006418862,0.001435274,0.001109521],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597995,"about_ca_system_score_gemma":0.007437818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02572852,"about_ca_topic_score_gemma":0.2491742,"domain_scores_codex":[0.9976931,0.0004906731,0.0005512448,0.0000965547,0.0006641113,0.0005043735],"domain_scores_gemma":[0.9977392,0.0002583399,0.0001796972,0.00007173279,0.0008482395,0.0009027913],"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":[0.00000157236,0.00001566533,0.3171026,0.00000503207,0.00001247391,0.0000358443,0.0002438991,0.0002747117,0.000002659042,0.00419909,0.6720658,0.006040664],"study_design_scores_gemma":[0.0004570604,0.00001519364,0.05868738,0.00005422063,0.000006700661,0.00002579631,0.0007571461,0.003326882,6.346215e-7,0.0004871979,0.9360843,0.00009750572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2619979,0.0003041609,0.01963701,0.3136965,0.01737186,0.0007601625,0.00008302388,0.0002071839,0.3859422],"genre_scores_gemma":[0.8983726,0.0001513753,0.002624325,0.04129818,0.01380307,0.0000582286,0.00009676138,0.00004198551,0.04355351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6363747,"threshold_uncertainty_score":0.9996682,"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."}}