{"id":"W7096263171","doi":"","title":"OPINION Ontario’s Private For-Profit MRI and CT Scanners: Saviour or Scourge?","year":2016,"lang":"en","type":"article","venue":"","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public opinion; Computed tomography; Advice (programming); Public health; MEDLINE","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":[0.007766961,0.0003729348,0.0006442463,0.000614831,0.004656915,0.004691413,0.002365701,0.01621425,0.02143927],"category_scores_gemma":[0.04317649,0.0004071828,0.0006913933,0.0008408625,0.008370188,0.006844734,0.001928562,0.01665783,0.006372619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01728374,"about_ca_system_score_gemma":0.02019141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2175895,"about_ca_topic_score_gemma":0.3532014,"domain_scores_codex":[0.9934355,0.001040044,0.0005421292,0.0006672491,0.003386059,0.0009289692],"domain_scores_gemma":[0.9609811,0.009710021,0.00249735,0.0009308734,0.01934645,0.006534194],"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":[0.00003196808,0.000006928472,0.0006963232,0.0001415231,0.00001323547,0.0004139321,0.0005400091,0.00002303077,0.0002122347,0.005761212,0.9774112,0.01474841],"study_design_scores_gemma":[0.00001782414,0.00001251432,0.001091216,0.0005413532,0.00001925971,0.0008811722,0.003867121,0.0000645957,0.0001467918,0.006199741,0.9871072,0.00005119666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000431011,0.002795289,0.0001462743,0.9848362,0.008051431,0.000004194713,0.00004979396,0.00001024747,0.003675632],"genre_scores_gemma":[0.02684361,0.01275224,0.0007234751,0.9205806,0.02182463,0.00002223761,0.00009886036,0.00008411448,0.0170702],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7824104,"threshold_uncertainty_score":0.4326461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05733581699437022,"score_gpt":0.3474425666319756,"score_spread":0.2901067496376054,"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."}}