{"id":"W2344040284","doi":"","title":"Сравнительный анализ финансирования политических партий и их избирательных фондов зарубежных стран с «полной демократией»","year":2014,"lang":"ru","type":"article","venue":"Контуры глобальных трансформаций: политика, экономика, право","topic":"Historical and Political Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; State (computer science); Political science; Business; Finance; 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":[0.001949377,0.0003076122,0.0002221696,0.002720349,0.001603159,0.005956716,0.0004211594,0.0007226948,0.008128698],"category_scores_gemma":[0.004520187,0.0004296297,0.000360574,0.002849388,0.003716913,0.001832988,0.001266217,0.001337171,0.001932383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002138149,"about_ca_system_score_gemma":0.004077367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004265619,"about_ca_topic_score_gemma":0.005445705,"domain_scores_codex":[0.9980855,0.0005196616,0.000107531,0.0002288146,0.0008838073,0.0001747296],"domain_scores_gemma":[0.997436,0.0009400972,0.0005137981,0.0002771001,0.0006909896,0.0001420682],"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":[0.00006638184,0.0000680406,0.006055874,0.000411047,0.00004158001,0.0004764611,0.006595052,0.0009288065,0.006672719,0.7931408,0.004534799,0.1810085],"study_design_scores_gemma":[0.00004128506,0.0001291544,0.02294045,0.0005231562,0.0001105545,0.001407762,0.007168026,0.001232203,0.009216497,0.295614,0.6615097,0.0001071483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1904148,0.04175535,0.0775343,0.01077135,0.001105962,0.000306499,0.0004878825,0.0002043023,0.6774196],"genre_scores_gemma":[0.9171296,0.01179074,0.03077464,0.0001849334,0.0002340927,0.0001861453,0.0001070745,0.00005562607,0.03953715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008128698,"threshold_uncertainty_score":0.02719325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620942357591339,"score_gpt":0.2975106022083751,"score_spread":0.2713011786324617,"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."}}