{"id":"W3025392591","doi":"10.1017/cem.2019.495","title":"Abdominal ultrasound image acquisition and interpretation by novice practitioners after minimal training on a simulated patient model","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Focused assessment with sonography for trauma; Triage; Emergency ultrasound; Ultrasound; Emergency department; Emergency medicine; Radiology; Test (biology); Medical emergency; Medical physics; Abdominal trauma; Nursing; Blunt","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":[0.00210999,0.0004666001,0.0005838041,0.0004086305,0.0006197049,0.0007908097,0.0009369235,0.001327091,0.005311913],"category_scores_gemma":[0.01170829,0.000497989,0.0003821391,0.0002038122,0.0004623302,0.0005833599,0.001262073,0.0007936379,0.001462733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007903351,"about_ca_system_score_gemma":0.001243422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005255031,"about_ca_topic_score_gemma":0.01130678,"domain_scores_codex":[0.9990079,0.0004666378,0.00005747431,0.0001884665,0.0001167337,0.0001627922],"domain_scores_gemma":[0.9950008,0.002445646,0.0002404635,0.0005662078,0.0008785377,0.0008683235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02482915,0.03191691,0.3656359,0.0008669596,0.0003358137,0.01086339,0.02284142,0.122373,0.09954609,0.001214677,0.01190778,0.307669],"study_design_scores_gemma":[0.001466076,0.05510425,0.4043015,0.0006259119,0.0004166253,0.009504244,0.01823213,0.4352495,0.05226295,0.00292097,0.01911783,0.0007979239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942367,0.00003715109,0.004213176,0.0001195884,0.00001236328,0.0001402165,0.000124921,0.00009308846,0.001022781],"genre_scores_gemma":[0.9850558,0.00008521679,0.01276642,0.0001177896,0.00001216622,0.000110945,0.0002540682,0.00003667394,0.001560875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005311913,"threshold_uncertainty_score":0.01777011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06224748608908954,"score_gpt":0.352474593761875,"score_spread":0.2902271076727855,"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."}}