{"id":"W2341109636","doi":"10.1177/1462474515593415","title":"Special issue: Punishment, values and local cultures","year":2015,"lang":"en","type":"article","venue":"Punishment & Society","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Penology; Imprisonment; Punitive damages; Punishment (psychology); Population; Sociology; Narrative; Power (physics); State (computer science); Political science; Criminology; Political economy; Law; Prison; Social psychology; Psychology","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":[0.002189216,0.001310944,0.002095666,0.003515016,0.006785798,0.01426093,0.002210224,0.006611358,0.05457334],"category_scores_gemma":[0.008170009,0.0006205216,0.001062106,0.003227309,0.004371973,0.008346175,0.005646156,0.008446186,0.008913562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003354402,"about_ca_system_score_gemma":0.003093729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003022022,"about_ca_topic_score_gemma":0.006678592,"domain_scores_codex":[0.9978976,0.0006439578,0.0001925193,0.0003548719,0.0006372711,0.0002738272],"domain_scores_gemma":[0.9916618,0.004891647,0.0005804445,0.0004734308,0.001398236,0.0009943857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001564697,0.00005357469,0.0006164025,0.0003341638,0.00001189755,0.000107407,0.001378367,0.00004115274,0.00007015515,0.01081008,0.9675117,0.01904945],"study_design_scores_gemma":[0.000006354779,0.00004316212,0.003659218,0.001087905,0.00001398692,0.0002947597,0.003292999,0.00009954198,0.00006074229,0.005394653,0.9860238,0.000022913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.004858926,0.05322205,0.001298412,0.186719,0.6479635,0.00009959843,0.0007278182,0.0001816444,0.1049291],"genre_scores_gemma":[0.02787889,0.05424712,0.0006263196,0.02925585,0.7859875,0.0002700773,0.0007486719,0.000533806,0.1004517],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05457334,"threshold_uncertainty_score":0.182566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701154428342094,"score_gpt":0.3273821124824901,"score_spread":0.3003705681990691,"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."}}