{"id":"W3146496327","doi":"10.1111/medu.14529","title":"The medical pause: Importance, processes and training","year":2021,"lang":"en","type":"article","venue":"Medical Education","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Acknowledgement; Cognition; Relaxation (psychology); Interrupt; Reflection (computer programming); Training (meteorology); Computer science; Curriculum; Function (biology); Cognitive training; Control (management); Psychology; Medical education; Cognitive psychology; Applied psychology; Medicine; Pedagogy; Social psychology; Artificial intelligence","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":[0.003757621,0.0003847984,0.0002436091,0.001189937,0.001085237,0.004207417,0.00118103,0.00211636,0.003092571],"category_scores_gemma":[0.01650763,0.0003640616,0.0004079879,0.0008289053,0.006863082,0.002973508,0.003451137,0.001804789,0.0005052437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488806,"about_ca_system_score_gemma":0.002738357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549094,"about_ca_topic_score_gemma":0.001301909,"domain_scores_codex":[0.9972473,0.001520187,0.0001635946,0.0003441036,0.0004552041,0.0002695848],"domain_scores_gemma":[0.9906836,0.00585386,0.001136412,0.0005537426,0.0004738847,0.00129848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005106089,0.0005058503,0.03986849,0.002595827,0.0000504942,0.001089168,0.1851832,0.003057203,0.01381884,0.2373468,0.003766001,0.5122075],"study_design_scores_gemma":[0.0001391988,0.002318035,0.2512278,0.007370693,0.0001815805,0.004557474,0.1142451,0.01529732,0.01218772,0.305776,0.2862329,0.0004660915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5605993,0.02140551,0.2006485,0.02837027,0.0008545441,0.0008490955,0.0002910856,0.001025841,0.1859558],"genre_scores_gemma":[0.9624562,0.002802376,0.02952642,0.000427098,0.0001363235,0.0001771252,0.00008644102,0.00005084969,0.004337174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004207417,"threshold_uncertainty_score":0.01987249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216791727666407,"score_gpt":0.3774527011484503,"score_spread":0.3557735283818096,"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."}}