{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003788586,0.0001409361,0.0003305293,0.0001542955,0.003772571,0.00004482388,0.0003275786,0.0003510186,0.006965837],"category_scores_gemma":[0.00174954,0.0001349608,0.00005727583,0.0003306367,0.00001709326,0.00008110123,0.00005861769,0.003427728,0.00001249338],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01098738,"about_ca_system_score_gemma":0.04744836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7916664,"about_ca_topic_score_gemma":0.9906504,"domain_scores_codex":[0.9936379,0.002103971,0.0006749866,0.000214507,0.002364755,0.001003923],"domain_scores_gemma":[0.9957949,0.000461008,0.0005234925,0.0001414266,0.0005090297,0.002570164],"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":[0.000009189584,0.00001594381,0.346757,0.00005695211,0.00008597657,0.0008912063,0.003788922,0.000009957219,0.000002565966,0.002190028,0.6372188,0.008973506],"study_design_scores_gemma":[0.0007643627,0.0000293777,0.0104396,0.00007387632,0.000006054995,0.000198364,0.0239731,0.00005791134,5.433475e-7,0.00006071174,0.9642493,0.0001468285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3601055,0.0004730491,0.00002606783,0.6201194,0.007221931,0.0004855809,0.0002002889,0.00004009985,0.01132802],"genre_scores_gemma":[0.9735351,0.0000946388,0.00001908898,0.01179552,0.004160488,0.00008067973,0.0000379389,0.00002949843,0.01024709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6134295,"threshold_uncertainty_score":0.9988714,"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."}}