{"id":"W4413117547","doi":"10.1067/j.cpradiol.2025.08.004","title":"Resident perspectives on global health imaging in canadian radiology training: A national survey","year":2025,"lang":"en","type":"article","venue":"Current Problems in Diagnostic Radiology","topic":"Global Health and Surgery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital; Centre de Santé et de Services Sociaux de la Montagne; McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Preparedness; Demographics; Global health; Developing country; Teleradiology; Medical education; Health care; Work (physics); Family medicine; Public health; Nursing; Telemedicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003403024,0.0002444037,0.0007477995,0.0008753925,0.00009150259,0.0000112556,0.0001712626,0.0001512447,0.00005135017],"category_scores_gemma":[0.01844177,0.0002427671,0.00007199686,0.0008754618,0.0002243146,0.00004462435,0.00003044232,0.0005773036,0.00001968121],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004813421,"about_ca_system_score_gemma":0.008849009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.140034,"about_ca_topic_score_gemma":0.3808236,"domain_scores_codex":[0.9960166,0.0008847959,0.0008733421,0.0006705926,0.0001913097,0.001363382],"domain_scores_gemma":[0.9956939,0.003268442,0.0001285608,0.0002309252,0.000150657,0.0005275728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009797773,0.0001843736,0.9336794,0.0001235977,0.0000139245,0.00008315664,0.0009971744,0.000489823,3.950513e-7,0.02042392,0.03237783,0.01152839],"study_design_scores_gemma":[0.00178521,0.0001750292,0.979628,0.0008085564,0.000004934789,0.0001650737,0.0004299477,0.0003859368,1.712636e-7,0.006527203,0.009943197,0.0001467692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8460954,0.09415243,0.0002523426,0.03739399,0.005583441,0.003040421,0.0003571495,0.00009588771,0.01302892],"genre_scores_gemma":[0.9928763,0.003388609,0.00003871107,0.003134177,0.0001219448,0.0001782335,0.0002242267,0.000009936433,0.00002787429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2407897,"threshold_uncertainty_score":0.9990069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05056666704171722,"score_gpt":0.3933630900454556,"score_spread":0.3427964230037384,"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."}}