{"id":"W566103404","doi":"","title":"ロングフェロー著『エヴァンジェリン』再考--マイエ著『エヴァンジェリーヌ二世』とのインターテクスト性をてがかりに","year":2007,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.001300317,0.001097859,0.0008708799,0.0008419168,0.001589393,0.0002603103,0.001192,0.001081654,0.0003141012],"category_scores_gemma":[0.0007182676,0.001193652,0.0003756179,0.001647737,0.001855148,0.002137199,0.0005438675,0.001863079,0.0007290301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110057,"about_ca_system_score_gemma":0.001128357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001479824,"about_ca_topic_score_gemma":0.0008609373,"domain_scores_codex":[0.9939614,0.00008217522,0.001691117,0.001309851,0.001272094,0.001683372],"domain_scores_gemma":[0.9963164,0.000419591,0.0002539514,0.001981169,0.0004642032,0.0005646737],"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":[0.0004677469,0.0004049262,0.002859958,0.0007334437,0.0006975115,0.004061193,0.0006543638,0.003146621,0.01337641,0.9526176,0.01806466,0.002915505],"study_design_scores_gemma":[0.002199022,0.0004160321,0.009490877,0.001109303,0.000383931,0.002325532,0.001606432,0.001565057,0.03051845,0.008137717,0.939507,0.002740629],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2282706,0.04366913,0.1240532,0.002839574,0.04775793,0.002017599,0.004927832,0.004982591,0.5414816],"genre_scores_gemma":[0.9800884,0.001494877,0.008824109,0.0002621591,0.005422716,0.00006011581,0.00152889,0.0001120442,0.002206679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9444799,"threshold_uncertainty_score":0.9997104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312816902160474,"score_gpt":0.2421582579391864,"score_spread":0.2290300889175817,"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."}}