{"id":"W38980156","doi":"10.1021/acsami.4c07282","title":"Содержание и соотношение понятий «Правовая фикция» и «Фиктивная норма»","year":2012,"lang":"en","type":"article","venue":"Социально-политические науки","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; Narodowe Centrum Nauki; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Legislator; Phenomenon; Norm (philosophy); Law; Legislature; Epistemology; Legal norm; Enforcement; Political science; Law and economics; Legislation; Sociology; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006599331,0.0003952591,0.0003570311,0.001245235,0.0006722795,0.001624367,0.0003539928,0.00061274,0.007449853],"category_scores_gemma":[0.001168745,0.0005779904,0.0003191622,0.001533778,0.001124332,0.0007007589,0.0007371405,0.0008990964,0.002824584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006513018,"about_ca_system_score_gemma":0.001179458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802155,"about_ca_topic_score_gemma":0.003217421,"domain_scores_codex":[0.9993322,0.00007715503,0.00004129989,0.000133987,0.0003405534,0.000074623],"domain_scores_gemma":[0.9995191,0.0001209198,0.0001217085,0.00007399922,0.0001223139,0.00004192819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001821896,0.00009536166,0.002455632,0.0008156237,0.00004060511,0.0008700305,0.001228339,0.002053129,0.5470638,0.09200709,0.002709992,0.3504782],"study_design_scores_gemma":[0.00005417869,0.0003294633,0.01036784,0.0002087887,0.0001223542,0.0028516,0.0007439479,0.004019354,0.3961368,0.01804125,0.5669158,0.0002087742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3844632,0.06420013,0.2786392,0.00142243,0.001574227,0.00043652,0.001541412,0.001007436,0.2667154],"genre_scores_gemma":[0.7833627,0.02178975,0.162038,0.0001102315,0.000154913,0.000421719,0.0004789812,0.000280516,0.03136314],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007449853,"threshold_uncertainty_score":0.02492231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219138236811459,"score_gpt":0.3245973875977288,"score_spread":0.3024060052296142,"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."}}