{"id":"W4309366788","doi":"10.1503/cmaj.1096025","title":"How can Canada reduce surgical backlogs without expanding privatization?","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summit; Coronavirus disease 2019 (COVID-19); Pandemic; Mythology; 2019-20 coronavirus outbreak; Public administration; Medicine; Political science; Business; Geography; History; Virology; Cartography; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.004705705,0.0006620545,0.0006595743,0.001917893,0.01197152,0.01104972,0.003039122,0.01439014,0.03078999],"category_scores_gemma":[0.02658456,0.000527673,0.001196206,0.002334808,0.005979128,0.007288181,0.004446279,0.0109059,0.003316283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06852792,"about_ca_system_score_gemma":0.4436149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.974589,"about_ca_topic_score_gemma":0.983682,"domain_scores_codex":[0.9918554,0.0006180489,0.0001360414,0.0003764451,0.002510167,0.004503861],"domain_scores_gemma":[0.9717782,0.002220525,0.0007315486,0.0003755057,0.01038715,0.01450709],"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":[0.0001059091,0.0001424133,0.005289978,0.0002487183,0.0000824235,0.0002165339,0.0007099048,0.0007506119,0.0003606302,0.06647841,0.8830575,0.04255701],"study_design_scores_gemma":[0.0002598596,0.0001082016,0.01675869,0.001171356,0.00008877058,0.0001125894,0.005693622,0.001293924,0.0004804328,0.0324974,0.9413387,0.00019637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003262619,0.002352411,0.0003371732,0.9741023,0.002107621,0.00002897251,0.0006103125,0.00009396086,0.01710471],"genre_scores_gemma":[0.1449239,0.0111801,0.003207583,0.7897848,0.002585753,0.0001051747,0.0009702013,0.0001827015,0.04705971],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06852792,"threshold_uncertainty_score":0.4972072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747995082663872,"score_gpt":0.355660975066802,"score_spread":0.3181810242401633,"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."}}