{"id":"W4214632555","doi":"10.1177/14624745221079456","title":"Cars, compounds and containers: Judicial and extrajudicial infrastructures of punishment in the ‘old’ and ‘new’ South Africa","year":2022,"lang":"en","type":"article","venue":"Punishment & Society","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Torture; Colonialism; Criminology; State (computer science); Public space; Political science; Punishment (psychology); Law; Neighbourhood (mathematics); Sociology; Geography; Human rights; Engineering; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007993459,0.0001110162,0.0002066148,0.00004763766,0.000933593,0.0001041462,0.0001561367,0.00004701367,0.00005868734],"category_scores_gemma":[0.00003148447,0.00009585841,0.00007975951,0.0003748685,0.00040948,0.0000863653,0.000159275,0.0002266744,1.016586e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042754,"about_ca_system_score_gemma":0.000116521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01820896,"about_ca_topic_score_gemma":0.004733207,"domain_scores_codex":[0.9986657,0.0001992422,0.0002103822,0.000224104,0.0004648851,0.0002356865],"domain_scores_gemma":[0.9995159,0.00015589,0.0001088066,0.0001076222,0.00003238387,0.00007940745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003910734,0.00009718806,0.02639217,0.00001964073,0.00009069983,0.000003614459,0.9513794,0.00003170518,0.0003145463,0.005747614,0.007293468,0.008590899],"study_design_scores_gemma":[0.0004556533,0.0001222821,0.01645088,0.000007060892,0.0002411832,0.000003196488,0.9668768,0.0001246435,0.000008816427,0.002004259,0.01358873,0.0001165006],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952193,0.00137583,0.00003764019,0.00168677,0.0001110657,0.0002290548,0.00002331468,0.0000132159,0.001303782],"genre_scores_gemma":[0.9985552,0.0006293791,0.0001396005,0.0004409094,0.0001386975,0.0000256842,0.000006705652,0.00000509902,0.00005873663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01549744,"threshold_uncertainty_score":0.9883289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557711197082022,"score_gpt":0.2745110765079451,"score_spread":0.2489339645371249,"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."}}