{"id":"W2170040239","doi":"10.1353/imp.2006.0086","title":"L’état c’est nous? Местное гражданство, имперское подданство и ревизия государственных учреждений в Казанской губернии (1819–1820 гг.)","year":2006,"lang":"en","type":"article","venue":"Ab imperio","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Bureaucracy; Economic Justice; State (computer science); Political science; Principal (computer security); Law; Public administration; Intervention (counseling); Power (physics); Quarter (Canadian coin); Population; Politics; Tribunal; Emperor; History; Sociology; Computer security; Psychology; Ancient history; Demography; 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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001167423,0.0005980536,0.0007048573,0.0002344568,0.001659851,0.0006708627,0.001124301,0.0005072693,0.002164816],"category_scores_gemma":[0.0004366423,0.0005555383,0.0003913709,0.0009925555,0.0009755204,0.0009340538,0.0002097423,0.0005673676,0.003588091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000330683,"about_ca_system_score_gemma":0.0007104652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1048454,"about_ca_topic_score_gemma":0.01579574,"domain_scores_codex":[0.9948965,0.0004539426,0.0008313375,0.0008528847,0.001148499,0.0018168],"domain_scores_gemma":[0.9976381,0.000398943,0.0003174884,0.0007871122,0.000260046,0.0005983135],"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":[0.0002054059,0.0008684465,0.03380332,0.0001334633,0.0001994576,0.0003500277,0.03577157,0.0001105671,0.00766256,0.2235194,0.6754248,0.02195091],"study_design_scores_gemma":[0.000709798,0.0001505337,0.008704226,0.0000492289,0.00006336818,0.00001938511,0.001945122,0.00002593825,0.001942726,0.00203687,0.9835232,0.0008295668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6324432,0.003688025,0.00004087264,0.01098327,0.002000764,0.0007602282,0.0001012146,0.0007888702,0.3491935],"genre_scores_gemma":[0.9573781,0.001648645,0.000529978,0.001788365,0.004750439,0.00005463148,0.00006672218,0.00009925294,0.03368385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3249348,"threshold_uncertainty_score":0.9996896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441075331358924,"score_gpt":0.3109793374834807,"score_spread":0.2965685841698915,"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."}}