{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005895346,0.0003697551,0.0001294315,0.0006971761,0.01218209,0.005145112,0.0004990879,0.000876633,0.003652181],"category_scores_gemma":[0.0009711504,0.00008425596,0.000106966,0.0005428567,0.01130611,0.002334769,0.001701301,0.002447524,0.0007068652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01155519,"about_ca_system_score_gemma":0.007211857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2784391,"about_ca_topic_score_gemma":0.5575461,"domain_scores_codex":[0.9995099,0.0001469202,0.000007771131,0.00004921962,0.0001189124,0.0001672944],"domain_scores_gemma":[0.9995496,0.0001544309,0.00005667563,0.00001648896,0.0001145309,0.0001082786],"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":[0.00007315738,0.00004334572,0.00526282,0.0001414066,0.00000795429,0.0007842832,0.4020712,0.0001166881,0.0008485414,0.4682069,0.06688914,0.05555448],"study_design_scores_gemma":[0.000003025927,0.00001840183,0.004015978,0.0001260457,0.000003986719,0.0003307998,0.07809828,0.00005574712,0.000422923,0.005192969,0.9117171,0.00001456058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2084914,0.01813515,0.003528741,0.02868021,0.001450913,0.00003596809,0.0002036659,0.0001208871,0.7393531],"genre_scores_gemma":[0.8786155,0.00412196,0.0007943928,0.002975866,0.000165694,0.00002043382,0.00006806606,0.00006739623,0.1131708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2784391,"threshold_uncertainty_score":0.5536368,"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."}}