{"id":"W4416733328","doi":"10.1016/j.cjca.2025.11.033","title":"A Survey on the Echocardiography Training Programs Across Canada: A Look on the Heterogeneity in the Training","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; Vancouver General Hospital; Université du Québec; University of Ottawa; Université de Montréal; University of British Columbia","funders":"Université de Montréal","keywords":"Training (meteorology); Core competency; Dreyfus model of skill acquisition; Core (optical fiber); Interpretation (philosophy); MEDLINE","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00348032,0.0003125568,0.0007415949,0.004510407,0.003132963,0.002253411,0.002101082,0.0008911139,0.004582935],"category_scores_gemma":[0.01663047,0.0004739101,0.0008753259,0.01306331,0.001386647,0.0009608893,0.001859368,0.001236365,0.0002549075],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03360209,"about_ca_system_score_gemma":0.07295114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9805853,"about_ca_topic_score_gemma":0.9845368,"domain_scores_codex":[0.991456,0.0006802608,0.001015322,0.001160553,0.003473324,0.002214496],"domain_scores_gemma":[0.9684162,0.004048786,0.005055768,0.0005052183,0.01416128,0.007812724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001071788,0.00006525817,0.9600871,0.0005198704,0.0002102421,0.0001396705,0.004913226,0.0001418133,0.0004510868,0.0009776108,0.00825808,0.0241288],"study_design_scores_gemma":[0.00000595858,0.0000254909,0.9905364,0.0002780752,0.000029101,0.00006125969,0.004542643,0.0001165074,0.00003779676,0.00004613371,0.004294549,0.00002605929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391996,0.01526044,0.0007075788,0.01516059,0.0002412978,0.0002071356,0.01500012,0.00007155773,0.01415165],"genre_scores_gemma":[0.9872758,0.005222598,0.0004968343,0.002808071,0.00004980333,0.00005683966,0.002668354,0.00003909197,0.001382606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9663979,"threshold_uncertainty_score":0.2438014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258735606675059,"score_gpt":0.3471301477031303,"score_spread":0.2212565870356244,"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."}}