{"id":"W4411749003","doi":"10.51731/cjht.2025.1157","title":"Trends in CT Exam Volumes Between 2007 and 2022–2023 in Canada","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nuclear medicine; Medicine; Medical physics; Environmental science","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":[0.0009834475,0.0003753364,0.0003885219,0.003879336,0.001196894,0.002015496,0.001563811,0.0005477068,0.002220237],"category_scores_gemma":[0.005084174,0.0003443392,0.0009214055,0.009973599,0.0007003693,0.0008909345,0.0009420508,0.00120847,0.0004023119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05008267,"about_ca_system_score_gemma":0.05014298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940263,"about_ca_topic_score_gemma":0.9958703,"domain_scores_codex":[0.9981599,0.00007275263,0.0001333964,0.0001610179,0.0008897273,0.0005832515],"domain_scores_gemma":[0.9906838,0.000387103,0.001228602,0.0001107675,0.006418601,0.00117119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001216595,0.00003072463,0.9409822,0.0002560869,0.0001436216,0.0001861001,0.0006628946,0.001412965,0.000312462,0.0009945697,0.03322668,0.02167008],"study_design_scores_gemma":[0.000005701832,0.0000135527,0.9833623,0.0001177855,0.00004514792,0.0001507253,0.001144542,0.00149818,0.0002147575,0.00006996369,0.01334922,0.00002813929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7335039,0.01067733,0.001135652,0.01384328,0.0002077196,0.0001135207,0.2161683,0.0004452952,0.02390489],"genre_scores_gemma":[0.9378849,0.004651176,0.001182014,0.001474327,0.00007394244,0.00005490295,0.0508744,0.00007208651,0.003732354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05008267,"threshold_uncertainty_score":0.3633769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009899713950787196,"score_gpt":0.2395912448993541,"score_spread":0.2296915309485669,"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."}}