{"id":"W4401653937","doi":"10.70231/amb.2022.008","title":"A striking maverick, whom nobody knew, has deceased...","year":2022,"lang":"en","type":"article","venue":"Acta Musei Beskidensis.","topic":"Empathy and Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"nobody; History; Psychology; Medicine; Psychoanalysis; Computer science; Computer security","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":[0.0009044515,0.0008022395,0.0005982889,0.0006338215,0.01284332,0.004427453,0.000745901,0.003987694,0.05712019],"category_scores_gemma":[0.004378701,0.0004263168,0.0003911684,0.0003638208,0.004569605,0.003572729,0.00385863,0.00947848,0.02826435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944211,"about_ca_system_score_gemma":0.002311207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164792,"about_ca_topic_score_gemma":0.05974331,"domain_scores_codex":[0.9992179,0.0002064809,0.00003306774,0.0001226882,0.0001906237,0.0002291972],"domain_scores_gemma":[0.999109,0.0001568485,0.0001239837,0.00007294845,0.0001997174,0.0003374575],"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":[0.0001368076,0.00004188336,0.003412248,0.0002001576,0.00003449975,0.003570016,0.03419102,0.00004533234,0.001625029,0.04634286,0.8583915,0.05200855],"study_design_scores_gemma":[0.000003286456,0.00001963986,0.001400352,0.0001744432,0.000007677594,0.002164931,0.01015063,0.00001689764,0.0002361149,0.001783012,0.9840237,0.00001939267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03048951,0.04124588,0.001454612,0.5115545,0.04809273,0.00005623301,0.0004987766,0.0003781038,0.3662297],"genre_scores_gemma":[0.1019691,0.01196774,0.001000493,0.06176655,0.002759244,0.00003093129,0.0001667686,0.0002359709,0.820103],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05712019,"threshold_uncertainty_score":0.1910861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417458473801206,"score_gpt":0.2839526078437908,"score_spread":0.2497780231057788,"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."}}