{"id":"W2336542037","doi":"10.36834/cmej.36646","title":"Bedside ultrasound education in Canadian medical schools: A national survey","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medical education; Medicine; Family medicine; Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001582366,0.0001858821,0.0002956582,0.001911327,0.001721737,0.0008675035,0.0008736298,0.0003208536,0.002094859],"category_scores_gemma":[0.004766759,0.00027689,0.0002390203,0.005546189,0.0006099182,0.0003961067,0.0008068164,0.0005498541,0.0002819932],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02537216,"about_ca_system_score_gemma":0.04487059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983431,"about_ca_topic_score_gemma":0.9902423,"domain_scores_codex":[0.9969116,0.0001750846,0.0001955901,0.0002670584,0.001853916,0.000596748],"domain_scores_gemma":[0.9919705,0.0003896548,0.00142472,0.000107962,0.003818047,0.002289125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002514903,0.00004260999,0.9884444,0.0001027266,0.0000134925,0.00004401816,0.001005326,0.00005241848,0.0001563711,0.0000647351,0.00201285,0.008036003],"study_design_scores_gemma":[0.00000214142,0.00001765796,0.9973509,0.00002726954,0.000004456786,0.00002478758,0.001282531,0.00008185181,0.00003315246,0.000006328345,0.001164408,0.000004541967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843612,0.0008453732,0.0002927193,0.001392187,0.00001566444,0.0001516687,0.006926016,0.00003772137,0.00597759],"genre_scores_gemma":[0.9954025,0.0008664009,0.0006368676,0.000387108,0.000007774303,0.00004030997,0.001934505,0.000005260648,0.0007191582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9746279,"threshold_uncertainty_score":0.1840888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049590672811681,"score_gpt":0.379351226408554,"score_spread":0.3488553196804371,"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."}}