{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008099901,0.0003156481,0.0001192887,0.0005434984,0.006335603,0.006708825,0.0005237967,0.001391392,0.008217112],"category_scores_gemma":[0.001355748,0.000149293,0.0001795394,0.0005885173,0.009131214,0.001956624,0.001633066,0.00268643,0.001246913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00858985,"about_ca_system_score_gemma":0.003810197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08079843,"about_ca_topic_score_gemma":0.1910005,"domain_scores_codex":[0.9992016,0.0002755053,0.00001985227,0.0001018221,0.0002595025,0.0001416105],"domain_scores_gemma":[0.9995024,0.0002023138,0.00006415827,0.00004115373,0.0001007459,0.00008925657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003010543,0.00001296461,0.0005455858,0.00007985027,0.000003247566,0.0002032013,0.01965926,0.00008121099,0.0003855392,0.8725574,0.08905766,0.01738388],"study_design_scores_gemma":[0.00000279753,0.000006577359,0.001203281,0.00005938707,0.000002110519,0.00008668906,0.007850677,0.00005440338,0.0003019228,0.02395184,0.9664716,0.000008693133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02146216,0.01070472,0.003930183,0.06691962,0.005397018,0.00005735252,0.0001634887,0.00006631523,0.8912991],"genre_scores_gemma":[0.505347,0.005701379,0.002721025,0.008642255,0.001468617,0.00008925684,0.00008894329,0.0001565244,0.475785],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08079843,"threshold_uncertainty_score":0.1606563,"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."}}