{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006931311,0.0001396658,0.0001827299,0.00002416847,0.0007579072,0.0002540252,0.0001864719,0.0001153824,0.0004533934],"category_scores_gemma":[0.00006820131,0.0001274346,0.0001801858,0.0003328141,0.0005032713,0.0002737167,0.00009388286,0.0001607417,0.00007946472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002777253,"about_ca_system_score_gemma":0.0001467603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006906325,"about_ca_topic_score_gemma":0.002557761,"domain_scores_codex":[0.9985037,0.0001151458,0.0001770637,0.0002829507,0.000575237,0.0003458861],"domain_scores_gemma":[0.9992462,0.00005328953,0.00007086834,0.0001538053,0.000174982,0.0003008731],"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":[0.00001067364,0.000113817,0.0008696776,0.00001081463,0.00008132435,0.000002905252,0.1718442,0.00002114205,0.000009134171,0.001236111,0.7740271,0.0517731],"study_design_scores_gemma":[0.0001532635,0.00003195637,0.0001396065,0.000005889686,0.0001548058,9.416684e-7,0.4722673,0.000094514,0.00002459425,0.0005923907,0.5264225,0.0001122874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5412095,0.00303238,0.003456577,0.02841488,0.005994632,0.0009850413,0.00003290557,0.0005895172,0.4162846],"genre_scores_gemma":[0.9417189,0.005349088,0.00172644,0.003016914,0.02175367,0.00005209523,0.00003294541,0.00002711402,0.02632289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4005094,"threshold_uncertainty_score":0.9997067,"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."}}