{"id":"W2981877078","doi":"10.1097/acm.0000000000002797","title":"In Reply to Eichbaum","year":2019,"lang":"en","type":"letter","venue":"Academic Medicine","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"","keywords":"Debiasing; Hindsight bias; Psychology; Cognitive bias; Perspective (graphical); Confirmation bias; Experiential learning; Metacognition; Malpractice; Cognition; Cognitive psychology; Overconfidence effect; Credibility; Social psychology; Epistemology; Computer science; Psychiatry; Pedagogy; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009368069,0.001275848,0.002308269,0.001371522,0.003837659,0.005336853,0.004234578,0.02999891,0.009125577],"category_scores_gemma":[0.07894222,0.001172332,0.001266859,0.001489569,0.005490248,0.01146443,0.003746401,0.07504188,0.005313765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003547012,"about_ca_system_score_gemma":0.006272708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004640313,"about_ca_topic_score_gemma":0.005354614,"domain_scores_codex":[0.9937255,0.001686928,0.0007639664,0.001455564,0.001801697,0.000566426],"domain_scores_gemma":[0.9685599,0.01817087,0.001608334,0.00102858,0.007300789,0.003331613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001215895,0.000008321706,0.0001601546,0.00004837919,0.000006408488,0.0003580207,0.0001727521,0.00002224355,0.00003175503,0.001851481,0.9935632,0.003765095],"study_design_scores_gemma":[0.00003247369,0.00003660409,0.0005560725,0.0006649194,0.00001918645,0.003457756,0.001246132,0.0002390019,0.0002379181,0.008498778,0.9848869,0.0001242491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00009778785,0.003398535,0.0001239436,0.9601325,0.03564437,0.000005369389,0.0000207835,0.00002972015,0.0005468677],"genre_scores_gemma":[0.001493371,0.001783667,0.0002458631,0.9743157,0.02009423,0.00002691648,0.00001178867,0.00003737775,0.001991031],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02999891,"threshold_uncertainty_score":0.04954374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04798426041355285,"score_gpt":0.3901999257639128,"score_spread":0.34221566535036,"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."}}