{"id":"W2895743259","doi":"","title":"Деградация семьи в романе В.П. Аст Афьева «Печальный детектив» и романе Р. Сенчина «Елтышевы»","year":2018,"lang":"ru","type":"article","venue":"RepoS (Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach)","topic":"Social and Behavioral Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Institution; Variety (cybernetics); Quarter (Canadian coin); Sociology; Social institution; Law; Work (physics); Total institution; History; Political science; Social science; Engineering","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003803154,0.002937054,0.003444742,0.0009269717,0.01251811,0.002304832,0.004457406,0.002488525,0.01345761],"category_scores_gemma":[0.001598205,0.003053009,0.002244092,0.004600872,0.009501394,0.002160981,0.002398609,0.002706126,0.01040432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002751778,"about_ca_system_score_gemma":0.00170598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02092716,"about_ca_topic_score_gemma":0.01961719,"domain_scores_codex":[0.9796479,0.002029749,0.003548054,0.004551802,0.004650395,0.005572096],"domain_scores_gemma":[0.9881407,0.0009906969,0.002640333,0.003487244,0.002625894,0.0021151],"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":[0.001726563,0.008584417,0.0403127,0.001216669,0.004050455,0.002246021,0.2289149,0.00001693388,0.0184187,0.1633602,0.4545555,0.07659691],"study_design_scores_gemma":[0.003647915,0.002930766,0.0142475,0.0008014889,0.002190328,0.0001474401,0.0633922,0.00009844816,0.002774228,0.009344413,0.8947895,0.00563578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5334023,0.007887909,0.0001347326,0.008542039,0.01872044,0.004509473,0.0004239099,0.002572884,0.4238063],"genre_scores_gemma":[0.8857754,0.002619571,0.0006191118,0.001575714,0.01232139,0.000272264,0.0001656068,0.0005093042,0.09614165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.440234,"threshold_uncertainty_score":0.9995947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05942047661248914,"score_gpt":0.3533874333607586,"score_spread":0.2939669567482694,"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."}}