{"id":"W2101134105","doi":"10.12927/hcpol.2008.20265","title":"How Busy Are Private MRI Centres in Canada?","year":2008,"lang":"fr","type":"article","venue":"Healthcare policy","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biostatistics; Health care; Sociology; Health policy; Clinical epidemiology; Epidemiology; Political science; Library science; Medicine; Medical education; Engineering ethics; Engineering; Law; Pathology; Computer science","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":[0.001137924,0.0001492771,0.0001792122,0.0007566141,0.003001556,0.002203015,0.001043568,0.0004979726,0.005880618],"category_scores_gemma":[0.006756132,0.0002573905,0.0001688365,0.002120489,0.001750489,0.0008193096,0.0008318005,0.0006903036,0.0002516139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03462008,"about_ca_system_score_gemma":0.05955316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9623674,"about_ca_topic_score_gemma":0.9810528,"domain_scores_codex":[0.9980589,0.0002372009,0.00007882474,0.0001742281,0.00051032,0.0009404716],"domain_scores_gemma":[0.9877023,0.001474018,0.002834427,0.0001628361,0.002508979,0.005317461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004278331,0.0001164423,0.8788113,0.0003578423,0.00004932439,0.0005187219,0.007875724,0.001107412,0.001095435,0.003817382,0.02596583,0.07985677],"study_design_scores_gemma":[0.00002401569,0.00008348044,0.937721,0.000240314,0.00003003722,0.0003381468,0.03369224,0.0009140128,0.0003265344,0.000892252,0.02568939,0.00004848593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719572,0.001682696,0.0003563608,0.0140187,0.00006733025,0.00003754998,0.00150275,0.00002306536,0.01035443],"genre_scores_gemma":[0.9959489,0.0010839,0.0003817476,0.0007710502,0.00002693906,0.00001033284,0.0002676811,0.00001062841,0.001498853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03763264,"threshold_uncertainty_score":0.2511874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0724445087818838,"score_gpt":0.3704858470974403,"score_spread":0.2980413383155565,"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."}}