{"id":"W2549718520","doi":"10.1002/aet2.10010","title":"Cognitive Debiasing Strategies for the Emergency Department","year":2016,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Debiasing; Cognitive bias; Confirmation bias; Intuition; Cognition; Pessimism; Psychology; Cognitive psychology; Emergency department; Computer science; Social psychology; Cognitive science; Epistemology; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001653272,0.00005444812,0.00008032418,0.00001664583,0.0001036734,0.00001474383,0.00001745851,0.00002473861,0.0001001845],"category_scores_gemma":[0.005847317,0.00002797622,0.00003745301,0.00003709671,0.00004365107,0.00003930146,0.000004877862,0.00002979621,0.000006640356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000916849,"about_ca_system_score_gemma":0.0002757867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009554978,"about_ca_topic_score_gemma":0.000007554827,"domain_scores_codex":[0.9995825,0.00001130355,0.0001247244,0.0001160952,0.00005794214,0.0001074679],"domain_scores_gemma":[0.9950728,0.004667979,0.00003932652,0.0000605871,0.00008418015,0.00007511896],"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":[0.0000378919,0.00009185963,0.00752947,0.000006769535,0.00003782544,3.140977e-7,0.001811203,7.244035e-8,0.00005406876,0.006233938,0.001303963,0.9828926],"study_design_scores_gemma":[0.003616492,0.0005788171,0.9000136,0.00277372,0.000601038,0.00008673629,0.0530391,0.00008322624,0.0003471003,0.02089009,0.01771114,0.0002589471],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767771,0.001132176,0.007332223,0.009190702,0.0006123609,0.0003475955,0.000007418296,0.00002981395,0.004570608],"genre_scores_gemma":[0.9975006,0.0002819157,0.000495547,0.0006445193,0.0002436128,0.00009774085,0.00001092573,0.000006905034,0.000718211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9826337,"threshold_uncertainty_score":0.7000207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08723981673305986,"score_gpt":0.412232595233549,"score_spread":0.3249927785004892,"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."}}