{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177819,0.0003201832,0.0002673512,0.0006901185,0.004236873,0.005268004,0.0004262922,0.001166518,0.01844772],"category_scores_gemma":[0.002749005,0.0002047237,0.0002322752,0.001015724,0.004901413,0.00458737,0.001228268,0.003354365,0.005987247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003202159,"about_ca_system_score_gemma":0.001695001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0215421,"about_ca_topic_score_gemma":0.02846885,"domain_scores_codex":[0.9992051,0.0002707754,0.00002755263,0.0002178166,0.0001710176,0.0001078556],"domain_scores_gemma":[0.999238,0.0002352065,0.00009858432,0.00006770021,0.0002631178,0.00009728267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009392698,0.00002582605,0.00433688,0.0002764773,0.00002632571,0.000509356,0.02963485,0.0001937518,0.0005523281,0.4090972,0.4639996,0.09125349],"study_design_scores_gemma":[0.000001672362,0.000004644143,0.002163518,0.00009694483,0.000002020467,0.0001423591,0.002673114,0.00002952224,0.0001216061,0.004813333,0.989939,0.00001224588],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04813162,0.1283312,0.005368873,0.3425104,0.0241733,0.00003372551,0.001916165,0.0002497679,0.4492849],"genre_scores_gemma":[0.582064,0.03413725,0.002545307,0.01424191,0.005862535,0.00005211947,0.0007538632,0.0004530652,0.3598899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0215421,"threshold_uncertainty_score":0.06171381,"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."}}