{"id":"W2623807024","doi":"10.7146/torture.v27i1.26532","title":"Mercy for money: Torture’s link to profit in Sri Lanka, a retrospective review","year":2017,"lang":"en","type":"review","venue":"Torture Journal","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Torture; Refugee; Impunity; Sri lanka; Extortion; Criminology; Medicine; Law; Socioeconomics; Political science; Human rights; Psychology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.002046115,0.0004763865,0.0006335277,0.007181671,0.001001002,0.001485787,0.0009181253,0.0006734655,0.00210215],"category_scores_gemma":[0.009041463,0.0007211823,0.0006354955,0.009224188,0.001510552,0.001297115,0.001233972,0.0007728983,0.0004660744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320268,"about_ca_system_score_gemma":0.003531251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01897675,"about_ca_topic_score_gemma":0.02882049,"domain_scores_codex":[0.9968178,0.0007313336,0.001428563,0.0003351853,0.0004650129,0.0002221222],"domain_scores_gemma":[0.9902979,0.002141936,0.005623156,0.0005197111,0.001121683,0.0002955406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001217813,0.000048623,0.9181881,0.01770441,0.0005087706,0.01397633,0.008158288,0.00007761194,0.00027799,0.0004446361,0.006250693,0.03424276],"study_design_scores_gemma":[0.00001389833,0.0002528958,0.8567108,0.02279017,0.001062058,0.06045007,0.02730349,0.00007094812,0.0003181828,0.000147042,0.03079491,0.00008549305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5237353,0.4594142,0.0005689234,0.001490712,0.0001635116,0.0005787562,0.007973727,0.00004021312,0.006034498],"genre_scores_gemma":[0.7113275,0.2815378,0.0005855119,0.0009432228,0.0002322216,0.0003666969,0.004344963,0.0000278147,0.0006342301],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01897675,"threshold_uncertainty_score":0.0377326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1494554476185192,"score_gpt":0.4921828149419029,"score_spread":0.3427273673233837,"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."}}