{"id":"W2170588386","doi":"10.1503/cmaj.051510","title":"Are there better ways to determine wait times?","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Benchmark (surveying); Alliance; Computer science; Waiting list; Data science; Operations research; Medicine; Surgery; Political science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01916163,0.002303377,0.003787916,0.004657527,0.001085636,0.005375591,0.002909065,0.002582893,0.007337993],"category_scores_gemma":[0.09005266,0.001029519,0.001841869,0.007862139,0.001809897,0.008701919,0.001239697,0.004241118,0.001763342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002765133,"about_ca_system_score_gemma":0.007803492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08619924,"about_ca_topic_score_gemma":0.09103691,"domain_scores_codex":[0.9910107,0.004262267,0.001035387,0.001412207,0.001720979,0.000558493],"domain_scores_gemma":[0.9267973,0.0418229,0.00868563,0.003994151,0.01711464,0.001585442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009772361,0.00108111,0.2905813,0.002702322,0.001714121,0.00007601651,0.0008884688,0.03803881,0.001275029,0.03283644,0.04629276,0.5835364],"study_design_scores_gemma":[0.001373026,0.002531454,0.3449199,0.007483596,0.002617374,0.0007072502,0.01385638,0.2666246,0.005232438,0.2324853,0.1206387,0.001529872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.1433184,0.1045736,0.6180249,0.09026442,0.004156752,0.0006638319,0.01588525,0.002480645,0.02063205],"genre_scores_gemma":[0.449986,0.0255094,0.4985627,0.009096803,0.002077123,0.0009970862,0.008678484,0.0007660009,0.004326348],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08619924,"threshold_uncertainty_score":0.171395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03433157301775352,"score_gpt":0.3357886577623024,"score_spread":0.3014570847445489,"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."}}