{"id":"W4237179354","doi":"10.1057/9781137321503_1","title":"Introduction","year":2016,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Historical Gender and Feminism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Imprisonment; Population; Prison; History; Commit; Law; Sociology; Political science; Archaeology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001946739,0.0008749615,0.0006287843,0.001156248,0.00352843,0.006897904,0.002366008,0.004162525,0.5030032],"category_scores_gemma":[0.007609462,0.0003533042,0.0007560436,0.001159815,0.001296155,0.003801588,0.004837766,0.003656082,0.3079824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003442417,"about_ca_system_score_gemma":0.005560689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007010445,"about_ca_topic_score_gemma":0.008900883,"domain_scores_codex":[0.9978085,0.0003376736,0.0001095713,0.0004734554,0.0008839084,0.0003869738],"domain_scores_gemma":[0.9974434,0.0003134277,0.00009648319,0.0002680848,0.001189602,0.0006890305],"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":[0.00006508642,0.00005311514,0.000594518,0.0001658745,0.000005072032,0.0002325947,0.0005283833,0.00004329277,0.0001449516,0.0187022,0.8922846,0.08718033],"study_design_scores_gemma":[0.000004214276,0.0000150091,0.0002848693,0.0001109383,0.000001217987,0.0001149891,0.0002192872,0.00001273773,0.00003759004,0.001581323,0.9976137,0.00000421334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002410367,0.006009997,0.003076276,0.02886928,0.0260072,0.0003380432,0.005605234,0.001116558,0.9265671],"genre_scores_gemma":[0.01094633,0.003588686,0.001743054,0.01609045,0.002824728,0.0002789313,0.004744004,0.0004853955,0.9592986],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4969968,"threshold_uncertainty_score":0.7089056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02853417656505362,"score_gpt":0.2651191310331743,"score_spread":0.2365849544681207,"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."}}