{"id":"W2955521332","doi":"","title":"2015.03.028. ХЕТЕНЬИ З., СТЕРН Л. В ПОИСКАХ КЛЮЧА, СПРЯТАННОГО ЦЕНЗОРОМ: О РАССКАЗЕ ВАСИЛИЯ ГРОССМАНА «В КИСЛОВОДСКЕ». HETéNYI Z., STERN L. RECOVERING THE KEY THE CENSOR HID: ON VASILY GROSSMAN’S «IN KISLOVODSK» // TORONTO SLAVIC QUATERLY. - TORONTO, 2014. - N 49. - P. 25-37","year":2015,"lang":"ru","type":"article","venue":"Социальные и гуманитарные науки. Отечественная и зарубежная литература. Сер. 7, Литературоведение: Реферативный журнал","topic":"European Cultural and National Identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Grossman; Stern; Key (lock); Linguistics; Art; History; Philosophy; Computer science; Ancient history","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006660282,0.0007715538,0.0004855271,0.001053375,0.001528434,0.004500693,0.001135952,0.003354102,0.748052],"category_scores_gemma":[0.001949457,0.0003447155,0.0003710537,0.001011125,0.001038909,0.002553172,0.001905649,0.001646628,0.5648253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327116,"about_ca_system_score_gemma":0.002012583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00622085,"about_ca_topic_score_gemma":0.005993397,"domain_scores_codex":[0.999711,0.00003829968,0.00002084227,0.00004943752,0.00009390392,0.00008647263],"domain_scores_gemma":[0.9992859,0.0001241965,0.00009490995,0.000048327,0.0001936695,0.0002529832],"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":[0.0002071572,0.0001062511,0.001437047,0.000640709,0.00001729209,0.0003500595,0.0008984401,0.00004622359,0.0002265005,0.02072513,0.656606,0.3187393],"study_design_scores_gemma":[0.00005751829,0.00005392337,0.006427543,0.001359636,0.00001988691,0.0007725791,0.001471205,0.00009564214,0.0002259726,0.01173745,0.9777579,0.00002077177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003735065,0.03218599,0.001194724,0.02560082,0.006954283,0.0000862954,0.007824013,0.001111738,0.921307],"genre_scores_gemma":[0.0412152,0.01123709,0.001188771,0.003111067,0.00166373,0.0001078408,0.003293231,0.0004549025,0.9377281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.748052,"threshold_uncertainty_score":0.3593732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05258530648185569,"score_gpt":0.3220227111478479,"score_spread":0.2694374046659922,"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."}}