{"id":"W2765208643","doi":"10.1016/j.cjca.2017.10.018","title":"Avoiding Clinical Errors With Bedside Echocardiography: A Randomized Clinical Study","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; McMaster University Medical Centre; St. Michael's Hospital; Mount Sinai Hospital; University Health Network; University of Toronto; Ted Rogers Centre for Heart Research","funders":"","keywords":"Medicine; Odds ratio; Confidence interval; Diagnostic accuracy; Clinical history; Diagnostic test; Medical history; Concordance; Internal medicine; Radiology; Emergency medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006613873,0.002705823,0.005245312,0.0009415052,0.001707545,0.002252433,0.00200744,0.006434209,0.0126308],"category_scores_gemma":[0.01651188,0.002367235,0.003406976,0.0009900588,0.004481317,0.003762167,0.001517783,0.005649002,0.001697262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879733,"about_ca_system_score_gemma":0.003444514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002050629,"about_ca_topic_score_gemma":0.003203748,"domain_scores_codex":[0.9924116,0.004408598,0.0006709547,0.00131602,0.000516911,0.0006760542],"domain_scores_gemma":[0.9815307,0.009930968,0.002990112,0.00149025,0.001024968,0.003032928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.953023,0.03920557,0.0008830107,0.0003995315,0.0006726916,0.00003264561,0.00008094573,0.0001628547,0.0002809949,0.00006486951,0.0002442003,0.004949832],"study_design_scores_gemma":[0.8733492,0.124037,0.001178532,0.00004899759,0.0006673218,0.00001344011,0.00004939936,0.0002474067,0.00009390994,0.0001219891,0.0001693697,0.00002330376],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819334,0.002108976,0.001131045,0.0008134836,0.001006741,0.0108863,0.0003593085,0.00006285583,0.001697911],"genre_scores_gemma":[0.9753991,0.001827885,0.005122707,0.001619664,0.001647762,0.01227527,0.000417853,0.00002696821,0.001662777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0126308,"threshold_uncertainty_score":0.04225421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06385024251420539,"score_gpt":0.4007800564671011,"score_spread":0.3369298139528957,"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."}}