{"id":"W3046610444","doi":"","title":"Reducing Inappropriate Imaging Orders For Lower Back Pain Using MRI And CT Checklists: A Quality Improvement Study In Saskatchewan, Canada","year":2020,"lang":"en","type":"article","venue":"Quality in primary care","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Checklist; Magnetic resonance imaging; Radiology; Concordance; Lumbar; Lumbar spine; Quality management; Neuroradiology; Requisition; Medical physics; Operations management; Surgery; Neurology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.007174045,0.0006529848,0.000598717,0.001963622,0.004394049,0.002451583,0.002703478,0.000688279,0.002350742],"category_scores_gemma":[0.01713508,0.000770505,0.0008250158,0.004614579,0.001968003,0.0008019254,0.002119056,0.001216017,0.0002545718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09258359,"about_ca_system_score_gemma":0.2659691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869002,"about_ca_topic_score_gemma":0.9949636,"domain_scores_codex":[0.9911711,0.002216749,0.0008453701,0.0009236456,0.003381206,0.00146197],"domain_scores_gemma":[0.9598811,0.004594109,0.004957717,0.00142716,0.02067211,0.008467819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002492296,0.00280371,0.8362952,0.001371611,0.0007318596,0.0005484298,0.006883714,0.002690658,0.004294422,0.0005832328,0.01234049,0.1289644],"study_design_scores_gemma":[0.0007816786,0.0009591343,0.9848121,0.0003908629,0.0001990903,0.00008457172,0.005401035,0.001587463,0.0008663077,0.00007727762,0.004728944,0.0001115735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875143,0.001183647,0.001105039,0.002611842,0.00009090242,0.001686659,0.00193729,0.00009009633,0.003780267],"genre_scores_gemma":[0.9838774,0.00155116,0.006778034,0.00197796,0.0000274154,0.001441972,0.001914383,0.00004071675,0.002390945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09258359,"threshold_uncertainty_score":0.6717441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718203528355137,"score_gpt":0.3121201498598142,"score_spread":0.2849381145762629,"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."}}