{"id":"W2991363103","doi":"10.4324/9781315637280-18","title":"Scientized and sanitized","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002216478,0.0006480727,0.0003752896,0.001654764,0.006208158,0.006147486,0.001299448,0.002363142,0.02052497],"category_scores_gemma":[0.002562404,0.0003109453,0.0003411153,0.001557465,0.01276706,0.003052372,0.002156813,0.003909316,0.004767834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0208337,"about_ca_system_score_gemma":0.0299187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1426226,"about_ca_topic_score_gemma":0.2825294,"domain_scores_codex":[0.9980181,0.0002928396,0.00004882405,0.0002824576,0.001147627,0.0002101063],"domain_scores_gemma":[0.9990792,0.0002197724,0.00004651939,0.0001540287,0.0004310655,0.00006940973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000135853,0.00002244281,0.0001468799,0.0002948101,0.000004425527,0.00009071266,0.003438731,0.0002868809,0.0009812732,0.8159148,0.1208733,0.05793201],"study_design_scores_gemma":[0.000001601591,0.000004649462,0.0001245282,0.0001303174,0.000001692005,0.00003000829,0.0002591219,0.00003936053,0.0003216313,0.01352866,0.9855542,0.000004110636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002268838,0.02926827,0.003029847,0.01961257,0.003969312,0.0001199843,0.0001823392,0.00009541173,0.9414535],"genre_scores_gemma":[0.04274328,0.02649682,0.002859556,0.00537652,0.001316004,0.00008451678,0.000227034,0.0001127058,0.9207836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9937918,"threshold_uncertainty_score":0.2835848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121296338822288,"score_gpt":0.2837684960401021,"score_spread":0.2525555326518792,"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."}}