{"id":"W2150233267","doi":"10.1186/s13089-014-0018-9","title":"Bedside ultrasound training using web-based e-learning and simulation early in the curriculum of residents","year":2015,"lang":"en","type":"article","venue":"Critical Ultrasound Journal","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Cegep Edouard Montpetit; Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Institut de Cardiologie de Montréal; Université de Montréal","keywords":"Medicine; Curriculum; Exact test; Ultrasound; Test (biology); Psychological intervention; Apprenticeship; Interventional radiology; Intervention (counseling); Physical therapy; Medical physics; Nursing; Surgery; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009568079,0.0003888361,0.0003172646,0.0002395863,0.000211524,0.00026548,0.0003723552,0.0003488842,0.003133223],"category_scores_gemma":[0.002362051,0.0001341267,0.0002778124,0.0001568752,0.0001589974,0.0002625207,0.0009568548,0.0004519654,0.0007529875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003407849,"about_ca_system_score_gemma":0.001054291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004940133,"about_ca_topic_score_gemma":0.0009342796,"domain_scores_codex":[0.9995596,0.0001513715,0.00003060053,0.00006200856,0.00009955209,0.00009693819],"domain_scores_gemma":[0.9989212,0.0002025323,0.0001506312,0.00005686759,0.0001534267,0.0005154065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004491731,0.05076936,0.1204152,0.001335507,0.0001160536,0.0006554013,0.002770436,0.004124001,0.0509075,0.0003178273,0.003759644,0.7603374],"study_design_scores_gemma":[0.00122648,0.08108001,0.8313036,0.001336855,0.000241928,0.002479118,0.002022994,0.009802952,0.04834754,0.001109335,0.02095563,0.00009363842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954507,0.0002127051,0.002118241,0.0001280187,0.00003882005,0.0002143879,0.00002086315,0.00005686383,0.001759526],"genre_scores_gemma":[0.9838049,0.0005117561,0.01243806,0.0002926708,0.00005279841,0.0003462259,0.0001244657,0.000007509059,0.002421671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003133223,"threshold_uncertainty_score":0.01048172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08881603856598388,"score_gpt":0.4083771894374059,"score_spread":0.319561150871422,"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."}}