{"id":"W3121594651","doi":"","title":"THE INSURANCE MARKET IN THE REPUBLIC OF CRIMEA AND SEVASTOPOL: THE ISSUES OF ADAPTATION TO THE RUSSAIN LAW","year":2015,"lang":"en","type":"article","venue":"Russian Economic Developments","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Index (typography); Investment (military); Slowdown; Capital (architecture); Agricultural economics; Agriculture; Business; Economics; Economy; Demographic economics; Geography; Political science; Economic growth; Law","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":[0.001220187,0.00009469657,0.0003219696,0.0007864079,0.002025063,0.006017517,0.0007783456,0.001233377,0.003786821],"category_scores_gemma":[0.002014764,0.0001782252,0.0003359989,0.0006433179,0.002423107,0.001334543,0.001454444,0.002172163,0.0002318219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004428948,"about_ca_system_score_gemma":0.005985247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05948669,"about_ca_topic_score_gemma":0.06158758,"domain_scores_codex":[0.9992399,0.0001275561,0.00002901549,0.0000748122,0.0001644318,0.0003642266],"domain_scores_gemma":[0.999212,0.0002345061,0.0002103481,0.00005376307,0.000130055,0.0001592095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003168679,0.0002104537,0.116312,0.0001720201,0.00009263871,0.004122797,0.008910232,0.001830052,0.001586367,0.7967868,0.02714205,0.04251774],"study_design_scores_gemma":[0.0000836046,0.0002186263,0.6597008,0.0004815184,0.0000655004,0.001787629,0.0177336,0.005759716,0.001071544,0.06371454,0.2492857,0.00009717393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8821607,0.003818402,0.0004442979,0.02117862,0.0001430378,0.00003078058,0.0003431987,0.00003605134,0.09184499],"genre_scores_gemma":[0.9939471,0.0004498791,0.0001191315,0.0007601563,0.0000353436,0.000008324319,0.00005930568,0.000007427041,0.004613281],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05948669,"threshold_uncertainty_score":0.1182809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04496336926632617,"score_gpt":0.3006627526688684,"score_spread":0.2556993834025422,"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."}}