{"id":"W2950915194","doi":"","title":"2016.04.023. МЕЕРЗОН Я. ПОЭТИКА СОСЕДСТВА В ЭМИГРАНТСКОМ ТВОРЧЕСТВЕ СЕРГЕЯ ДОВЛАТОВА. MEERZON Y. THE POETICS OF NEIGHBOURHOOD IN SERGEI DOVLATOV’S éMIGRé WRITINGS // TORONTO SLAVIC QUARTERLY. - TORONTO, 2015. - N 54. - P. 60-85","year":2016,"lang":"ru","type":"article","venue":"Социальные и гуманитарные науки. Отечественная и зарубежная литература. Сер. 7, Литературоведение: Реферативный журнал","topic":"Discourse Analysis and Cultural Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Poetics; Neighbourhood (mathematics); Slavic languages; Émigré; History; Linguistics; Political science; Philosophy; Classics; Poetry; Law; Mathematics","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.01161023,0.005357686,0.006879554,0.001010572,0.00432335,0.002263029,0.01297729,0.003771289,0.02941346],"category_scores_gemma":[0.001877716,0.00401697,0.004596894,0.004422256,0.005791449,0.009894785,0.00255451,0.003334685,0.002637469],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006247373,"about_ca_system_score_gemma":0.003547615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.155508,"about_ca_topic_score_gemma":0.4265052,"domain_scores_codex":[0.9612302,0.007013679,0.01024058,0.005762144,0.007848661,0.007904761],"domain_scores_gemma":[0.9725046,0.00350651,0.007968266,0.009954834,0.003174149,0.002891665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004967125,0.0156336,0.02011485,0.002198205,0.01049836,0.0007979849,0.2143341,0.0004898224,0.05483997,0.1379008,0.161273,0.3769522],"study_design_scores_gemma":[0.02948136,0.009297617,0.1333548,0.01411481,0.01050904,0.0004611294,0.3097512,0.003680991,0.006552144,0.02421463,0.437062,0.02152031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5537128,0.1496352,0.00161084,0.07284191,0.01260652,0.01426148,0.003402415,0.002593426,0.1893354],"genre_scores_gemma":[0.9242105,0.038509,0.0007010204,0.001626455,0.003711005,0.0008777091,0.000545209,0.0008595997,0.0289595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3704977,"threshold_uncertainty_score":0.9989647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468151799797118,"score_gpt":0.30969547099619,"score_spread":0.2950139529982188,"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."}}