{"id":"W2783532279","doi":"10.21603/2078-8975-2017-4-23-29","title":"THE KOLYVAN FACTORIES IN THE POLICY OF THE KUZNETSK VOIVODES IN THE SECOND QUARTER OF THE XVIII CENTURY","year":2018,"lang":"en","type":"article","venue":"Bulletin of Kemerovo State University","topic":"Central European and Russian historical studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Estate; State (computer science); Lawmaking; Competition (biology); Subject (documents); Real estate; Administration (probate law); Business; Political science; Public administration; Economy; Law; Legislature; History; Economics; Library science; Computer science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006735948,0.00009683505,0.0001480296,0.00003054792,0.0008844853,0.00001493748,0.001220049,0.00003414098,0.0001250975],"category_scores_gemma":[0.0001777423,0.00003975609,0.0001268393,0.0004734719,0.002220419,0.00002531978,0.000182017,0.0001898246,0.000005739944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146854,"about_ca_system_score_gemma":0.00009911817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01476709,"about_ca_topic_score_gemma":0.01843658,"domain_scores_codex":[0.9980447,0.0009863938,0.0002015143,0.0001244504,0.0003808436,0.0002620588],"domain_scores_gemma":[0.9989554,0.0004223995,0.0002157218,0.0003078072,0.00007502383,0.00002362983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000394794,0.0004540597,0.05379354,0.00007161679,0.0001151972,0.000007913608,0.5223762,0.000008170925,0.0002052175,0.1779771,0.2399879,0.004608303],"study_design_scores_gemma":[0.0001896521,0.00003969045,0.1516844,0.00001718926,0.000008463355,1.43581e-7,0.04421247,2.905903e-7,0.00006134255,0.0001927091,0.8035469,0.00004672746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7984726,0.000394849,0.000001766901,0.02938003,0.0003913759,0.0004747715,0.00007072467,0.000007737964,0.1708062],"genre_scores_gemma":[0.995819,0.0008121989,0.000004495898,0.0002679164,0.00006479625,2.718505e-7,2.465063e-7,0.000003491237,0.003027532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5635591,"threshold_uncertainty_score":0.9994744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008928387881545305,"score_gpt":0.2153126502215774,"score_spread":0.2063842623400322,"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."}}