{"id":"W3135402457","doi":"10.51731/cjht..24","title":"Canadian Medical Imaging Inventory, 2019–2020","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Medical imaging; Medical physics; Context (archaeology); Modalities; Medicine; Single-photon emission computed tomography; Population; Nuclear medicine; Radiology; Geography; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004323742,0.0008232402,0.0007346355,0.008146718,0.003712794,0.00871662,0.003060241,0.002327059,0.06495507],"category_scores_gemma":[0.0182355,0.0005915806,0.0009461346,0.01161677,0.001277832,0.002641782,0.001935761,0.002806452,0.01569462],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07394537,"about_ca_system_score_gemma":0.1971246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9710782,"about_ca_topic_score_gemma":0.9797045,"domain_scores_codex":[0.9926566,0.0003725045,0.0003998075,0.0003731598,0.004906986,0.001290896],"domain_scores_gemma":[0.9714916,0.001342013,0.0008650629,0.0004119095,0.02126193,0.004627448],"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":[0.00003166509,0.00001673944,0.002108308,0.0003056781,0.00001352662,0.00004468731,0.00004629106,0.0001074928,0.00004521291,0.006307378,0.9619792,0.02899371],"study_design_scores_gemma":[0.00001352731,0.000009795745,0.01420516,0.0004784838,0.00001158251,0.00005325192,0.0002247438,0.000222168,0.00004263197,0.0005382053,0.9841794,0.00002106607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004415272,0.02126634,0.001106913,0.1401509,0.008098311,0.000513825,0.4271061,0.001259623,0.3960828],"genre_scores_gemma":[0.08258113,0.05281431,0.01193599,0.05037473,0.004150755,0.001119944,0.4567099,0.0005271995,0.3397861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9260547,"threshold_uncertainty_score":0.5365137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339303388537645,"score_gpt":0.2884915567109284,"score_spread":0.2750985228255519,"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."}}