{"id":"W4292623769","doi":"10.1007/s10459-022-10152-4","title":"Negotiating humanity: an ethnography of cadaver-based simulation","year":2022,"lang":"en","type":"article","venue":"Advances in Health Sciences Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Royal College of Physicians and Surgeons of Canada","keywords":"Humanity; Ethnography; Negotiation; Cadaver; Function (biology); Sight; Sociology; Medicine; Anthropology; Anatomy; Political science; Law; Social science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007765807,0.0007683039,0.0005607233,0.002168205,0.008069324,0.004973791,0.001893725,0.00225218,0.004827687],"category_scores_gemma":[0.02114575,0.0007258588,0.0004116446,0.001468818,0.009320587,0.004750544,0.005434843,0.002783822,0.000400971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002533316,"about_ca_system_score_gemma":0.00327546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008954891,"about_ca_topic_score_gemma":0.02203878,"domain_scores_codex":[0.992884,0.005617667,0.0001773197,0.0004064029,0.0003874906,0.0005270799],"domain_scores_gemma":[0.9757537,0.02095511,0.0007162828,0.001080376,0.0007941513,0.0007004372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005040511,0.0001289394,0.005496006,0.00009405884,0.00001055055,0.0009995874,0.9797677,0.0005878303,0.001194036,0.003904903,0.0004447739,0.007321193],"study_design_scores_gemma":[0.000007675803,0.0001133838,0.004332156,0.0002577669,0.0000127496,0.0008320865,0.9714724,0.0008879954,0.001093632,0.001714659,0.01923022,0.00004518713],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757388,0.0003021344,0.009389371,0.0006942464,0.00002953848,0.0001373207,0.0001462278,0.00003168198,0.01353066],"genre_scores_gemma":[0.9939008,0.0004027106,0.002646341,0.0001529106,0.000008194942,0.00007999509,0.0001098336,0.00004982422,0.002649531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008954891,"threshold_uncertainty_score":0.04106998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242142555320927,"score_gpt":0.3750989612748826,"score_spread":0.3526775357216734,"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."}}