{"id":"W7053990032","doi":"","title":"Генологічні аспекти романів М. Етвуд «Історія служниці», «Орикс і Крейк» та «Рік потопу»
\\n(«Genological Aspects of Margaret Atwood’s Novels The Handmaid’s Tale, Oryx and Crake and The Year of the Flood»)","year":2015,"lang":"uk","type":"article","venue":"Digital Repository of Ostroh Academy (Ostroh Academy)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oryx; Dystopia; Indignation; Headline; Flood myth","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010453,0.0009435688,0.0014154,0.000178371,0.0004499499,0.0002860963,0.001935142,0.001221255,0.00002307203],"category_scores_gemma":[0.0006847622,0.0005755909,0.0005629163,0.0008012434,0.003942064,0.0007313016,0.001083282,0.002375025,0.00002689159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351275,"about_ca_system_score_gemma":0.0003183632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008223232,"about_ca_topic_score_gemma":0.000004498642,"domain_scores_codex":[0.9941359,0.0004181656,0.002019094,0.0009916582,0.001383814,0.001051364],"domain_scores_gemma":[0.9959469,0.001174583,0.001149306,0.0009453318,0.0002268993,0.000556942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.009080552,0.002656302,0.1123512,0.004679629,0.008469666,0.00009106455,0.01332079,0.00425049,0.2318445,0.5256476,0.07033177,0.01727643],"study_design_scores_gemma":[0.03228828,0.001995149,0.3718656,0.002789989,0.003258279,0.001550331,0.006850051,0.004530096,0.4215722,0.03904678,0.1101695,0.004083622],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377113,0.009776354,0.0002373161,0.00606336,0.000585825,0.00295345,0.001091209,0.0001707975,0.04141038],"genre_scores_gemma":[0.9956906,0.0005594831,0.0001618388,0.0001956273,0.0005497077,0.00011679,0.00002050572,0.0001269149,0.002578486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4866009,"threshold_uncertainty_score":0.9999265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019199089458002,"score_gpt":0.220447511152864,"score_spread":0.201248421694862,"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."}}