{"id":"W4226162538","doi":"10.23859/2587-8344-2022-6-1-2","title":"Staffing provincial prisons in the first half of the 19th century (based on the materials of Northern European Russia)","year":2022,"lang":"en","type":"article","venue":"Historia provinciae – the journal of regional history(rus )","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prison; Staffing; Quarter (Canadian coin); Legislation; Guard (computer science); Law; Political science; Confiscation; Public administration; History","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006124661,0.0001306404,0.0001182142,0.001235101,0.001404667,0.0009984586,0.0003358454,0.0001766284,0.001871118],"category_scores_gemma":[0.001059589,0.0001355845,0.000134648,0.001214536,0.0008632133,0.0003635159,0.001044001,0.0002532467,0.0002763162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006936654,"about_ca_system_score_gemma":0.004604558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1271331,"about_ca_topic_score_gemma":0.2329103,"domain_scores_codex":[0.9992635,0.0001886429,0.000056479,0.00009100496,0.0001427595,0.000257727],"domain_scores_gemma":[0.9996545,0.00003817875,0.0001147241,0.00002420767,0.00008369073,0.00008466449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003477083,0.000102676,0.4546265,0.0007905129,0.00004611032,0.001668202,0.08309849,0.006491879,0.002953433,0.1144654,0.006598832,0.3288102],"study_design_scores_gemma":[0.000005010761,0.0001559349,0.8786069,0.0002183845,0.000019332,0.0008504463,0.01487002,0.001116393,0.000739166,0.001464405,0.1019324,0.00002167714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678678,0.002344331,0.000961974,0.0004227077,0.00003866919,0.000023862,0.0003449433,0.00002640011,0.02796935],"genre_scores_gemma":[0.9927126,0.001143793,0.0007052616,0.00001848249,0.000009923692,0.000008711106,0.0002026053,0.000005293544,0.005193236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271331,"threshold_uncertainty_score":0.2527863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057726439106633,"score_gpt":0.2147126080776891,"score_spread":0.1941353436866228,"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."}}