{"id":"W2012252482","doi":"10.1378/chest.1381342","title":"Assessing the Effect of Introducing Training on Bedside Ultrasound Using Web-Based e-Learning and Simulation Early in the Curriculum of Resident","year":2012,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Medicine; Curriculum; Simulation training; Medical education; Training (meteorology); Web application; Medical physics; E learning; Ultrasound; The Internet; Radiology; Simulation; World Wide Web; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003277544,0.0006775361,0.0006415729,0.0003070052,0.0004197828,0.0005476375,0.0008329286,0.001217156,0.005152804],"category_scores_gemma":[0.0171462,0.0004124736,0.0007218107,0.0002608884,0.0004179271,0.000670742,0.0008429704,0.001545901,0.0005132872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007261761,"about_ca_system_score_gemma":0.001856121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002273882,"about_ca_topic_score_gemma":0.00404551,"domain_scores_codex":[0.9981688,0.000718273,0.0001951821,0.0002443801,0.0003077312,0.0003656313],"domain_scores_gemma":[0.9848167,0.008118161,0.001613849,0.0005545302,0.0009170614,0.003979702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.2396088,0.4894483,0.05276279,0.001124659,0.0007006394,0.0002454671,0.002615012,0.004280114,0.0221704,0.0002409097,0.001430062,0.1853728],"study_design_scores_gemma":[0.0140067,0.6371117,0.3275613,0.000227415,0.000938791,0.0001107403,0.0009889167,0.003116384,0.01356886,0.0001656501,0.002099359,0.0001042356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990302,0.00003760904,0.00008600695,0.00007564043,0.00003455471,0.0001829541,0.00003553126,0.00001330739,0.000504142],"genre_scores_gemma":[0.9964972,0.0001294195,0.001379844,0.0001171262,0.00005750795,0.0004024738,0.0001200077,0.000006154924,0.001290288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005152804,"threshold_uncertainty_score":0.01733351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04302169654636635,"score_gpt":0.3866726683104086,"score_spread":0.3436509717640422,"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."}}