{"id":"W2928277082","doi":"","title":"Анти)юбилей Питера Пэна","year":2018,"lang":"ru","type":"article","venue":"Детские чтения","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Character (mathematics); History; Literature; Art history; Performance art; Art","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":[0.0009196689,0.0002660379,0.000161549,0.001128444,0.003038628,0.005617253,0.0003267437,0.000872439,0.02376333],"category_scores_gemma":[0.002237886,0.0002281431,0.0001758624,0.001333692,0.003723938,0.001923222,0.001962835,0.001926126,0.01038277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002431201,"about_ca_system_score_gemma":0.001778106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006505493,"about_ca_topic_score_gemma":0.009723772,"domain_scores_codex":[0.9983671,0.0004472536,0.00006739369,0.0002215455,0.0006994755,0.0001972257],"domain_scores_gemma":[0.9994408,0.0001624615,0.00008152142,0.00008134481,0.0001773809,0.00005645359],"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":[0.00004684036,0.00002011068,0.001012764,0.0002249766,0.000008455538,0.0003362961,0.01942328,0.00008963863,0.001900416,0.7922066,0.03181656,0.152914],"study_design_scores_gemma":[0.000003272093,0.00001175397,0.001253474,0.0000957265,0.00000408906,0.0002677421,0.002233919,0.0000324682,0.0005549836,0.01284952,0.9826848,0.000008286876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.021578,0.01238052,0.006877894,0.007026231,0.001790856,0.00005846394,0.0001739442,0.0001084189,0.9500058],"genre_scores_gemma":[0.6535913,0.01062619,0.005674148,0.001148262,0.0008044067,0.0001502766,0.0001872071,0.0001801198,0.3276382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02376333,"threshold_uncertainty_score":0.07949626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565567616136874,"score_gpt":0.2383987386943057,"score_spread":0.2227430625329369,"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."}}