{"id":"W3094411164","doi":"10.1093/pastj/gtaa015","title":"From Written Record to Bureaucratic Mind: Imagining a Criminal Record*","year":2020,"lang":"en","type":"article","venue":"Past & Present","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Bureaucracy; Opposition (politics); Statutory law; Statute; Criminal record; Law; Criminal justice; Political science; Punishment (psychology); Corporate governance; Government (linguistics); History; Criminology; Sociology; Psychology; Business; Social psychology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001254023,0.0001749601,0.0005323627,0.00005840174,0.0001544556,0.00007237637,0.0002752337,0.0000639174,0.001255641],"category_scores_gemma":[0.0001356679,0.0002093631,0.0001425005,0.0001480557,0.00004157613,0.0001164615,0.0001771432,0.0001703458,0.00429502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958699,"about_ca_system_score_gemma":0.00001577292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008747873,"about_ca_topic_score_gemma":0.0001131745,"domain_scores_codex":[0.9984609,0.00001876543,0.0005927677,0.0005533147,0.0000395818,0.0003346356],"domain_scores_gemma":[0.9992157,0.00008957316,0.0001778322,0.0002032196,0.00002339047,0.0002902709],"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":[0.0003306768,0.0003814272,0.1494958,0.000109203,0.0006953405,0.00008268785,0.1300275,0.0002373548,0.00009545198,0.01743042,0.5699875,0.1311267],"study_design_scores_gemma":[0.0003302648,0.0001135751,0.006452711,0.00001081063,0.00001935882,2.883623e-7,0.001384591,0.001744382,0.000007716267,0.007836773,0.9817586,0.00034092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5495623,0.003547339,0.03629323,0.1272002,0.00286039,0.0009295939,0.0004642281,0.0001820054,0.2789606],"genre_scores_gemma":[0.9840814,0.00008125334,0.006708993,0.003159679,0.003999933,0.00009708858,0.00001827683,0.00004199724,0.001811415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.434519,"threshold_uncertainty_score":0.9996573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07384677204167166,"score_gpt":0.2520983067072943,"score_spread":0.1782515346656227,"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."}}