{"id":"W1986514608","doi":"10.1080/03064220512331339508","title":"How To Make a Torturer","year":2005,"lang":"en","type":"article","venue":"Index on Censorship","topic":"Torture, Ethics, and Law","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Torture; Bureaucracy; Political science; Law and economics; Law; Advertising; Politics; Business; Sociology; Human rights","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":[0.004493335,0.0004130215,0.0002950491,0.0008899677,0.005770759,0.006269854,0.0009641497,0.005932368,0.02469729],"category_scores_gemma":[0.02277611,0.0003334256,0.0005316617,0.0003519083,0.009962092,0.009001186,0.002781414,0.006007,0.01331466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244648,"about_ca_system_score_gemma":0.003231299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002827474,"about_ca_topic_score_gemma":0.007286587,"domain_scores_codex":[0.9958527,0.001469845,0.0002153324,0.0003770511,0.001468996,0.0006161177],"domain_scores_gemma":[0.99184,0.00202056,0.0009459279,0.001316822,0.002074155,0.00180262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004253309,0.0003812725,0.004044977,0.0001579274,0.00004023309,0.0009526505,0.01159808,0.0007594993,0.004243996,0.5417808,0.2960685,0.1399296],"study_design_scores_gemma":[0.00002554504,0.0001407117,0.002858026,0.0004123297,0.00004540612,0.00142519,0.01161224,0.0005872619,0.002799838,0.1736872,0.8063122,0.00009392804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.03178129,0.003044917,0.03695545,0.3218282,0.005577909,0.000241858,0.0001305478,0.0006201413,0.5998197],"genre_scores_gemma":[0.5031559,0.00434386,0.04676611,0.06788748,0.001675413,0.0002312026,0.0001412528,0.0005707206,0.375228],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02469729,"threshold_uncertainty_score":0.08262074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06330010973938047,"score_gpt":0.3338593489575293,"score_spread":0.2705592392181488,"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."}}