{"id":"W2059818376","doi":"10.1080/1081602x.2015.1006653","title":"Physical growth and ethnic inequality in New Zealand prisons, 1840–1975","year":2015,"lang":"en","type":"article","venue":"The History of the Family","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Marsden Fund","keywords":"Demography; Ethnic group; Prison; Population; Inequality; Fertility; Geography; Sociology; Political science; Criminology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000518081,0.00009284298,0.0003563337,0.00003642278,0.00005208712,0.000003488654,0.0002621243,0.0000511908,0.000005547065],"category_scores_gemma":[0.0001837312,0.00007017255,0.00008358466,0.00009386439,0.0002622507,0.00005827099,0.0001080404,0.0001646169,0.00004075958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005637354,"about_ca_system_score_gemma":0.000104877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0099645,"about_ca_topic_score_gemma":0.0002486366,"domain_scores_codex":[0.9992961,0.00004874721,0.0003083305,0.0001688796,0.00003470652,0.0001431934],"domain_scores_gemma":[0.9994038,0.00007739682,0.0002204387,0.0002242236,0.00001059749,0.00006357257],"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":[0.0001234734,0.0002524046,0.1310533,0.00004550161,0.0001010822,0.000001104537,0.1008673,0.00002925857,0.00007043627,0.21438,0.551182,0.001894161],"study_design_scores_gemma":[0.001119338,0.00007497895,0.246905,0.00001345301,0.00001532642,4.995897e-7,0.0007641498,0.0001655096,0.000003806038,0.1058252,0.6448528,0.0002599494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241917,0.02582041,0.00004536319,0.002075979,0.001543328,0.0001808965,0.00001744327,0.00001610313,0.04610882],"genre_scores_gemma":[0.979753,0.000227838,0.00002870418,0.0004617861,0.000132412,0.000004963751,4.855943e-7,0.00001007316,0.01938077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1158518,"threshold_uncertainty_score":0.9966282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1156337983346907,"score_gpt":0.2477572971105977,"score_spread":0.132123498775907,"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."}}