{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005947282,0.00004813847,0.00008870898,0.0002987401,0.0002189739,0.000004338508,0.000162157,0.00002119133,0.000028059],"category_scores_gemma":[0.00005180401,0.00005277205,0.00001155287,0.0009072379,0.0001279684,0.0002773698,0.00001238401,0.0001601968,2.711487e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009481455,"about_ca_system_score_gemma":0.0002477696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001927684,"about_ca_topic_score_gemma":0.00009620154,"domain_scores_codex":[0.9992052,0.00005958721,0.0002442424,0.0001261441,0.0001991794,0.000165676],"domain_scores_gemma":[0.999663,0.00009914013,0.00008756503,0.00009162195,0.00001755985,0.00004110228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001137547,0.00004526845,0.005731627,0.00006858351,2.966658e-7,4.345153e-8,0.0003948778,0.8660125,0.000006099464,0.005330689,0.000009764701,0.1223991],"study_design_scores_gemma":[0.0001262182,0.0003194518,0.003067251,0.00004111957,0.000001193311,6.476301e-7,0.005553866,0.9290115,0.00007661955,0.006805407,0.05489357,0.0001031704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527895,0.02724819,0.01356118,0.0004702673,0.002512103,0.0004554662,0.000005913439,0.0002393101,0.002718005],"genre_scores_gemma":[0.9967903,0.0003338786,0.002565716,0.0002234292,0.00002396368,0.00004829696,0.000008515616,0.000003833873,0.00000204168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1222959,"threshold_uncertainty_score":0.2151982,"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."}}