{"id":"W13602353","doi":"","title":"後期万葉における大宰府文化圏の研究 : 宴席・贈答歌を中心に(卒業論文要旨,平成十六年度上代文学関係卒業論文要旨・修士論文題目)","year":2005,"lang":"ja","type":"article","venue":"Revue canadienne de biologie","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007659087,0.0007517135,0.0008394725,0.0003997558,0.0002901203,0.00005563446,0.001126019,0.001460345,0.0008797949],"category_scores_gemma":[0.0005288078,0.0008082687,0.0003215472,0.000585701,0.0004313021,0.0002498659,0.0001592072,0.001251745,0.0007255499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577189,"about_ca_system_score_gemma":0.0002752198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042767,"about_ca_topic_score_gemma":0.04730852,"domain_scores_codex":[0.9954719,0.0001362199,0.0007722058,0.0008963224,0.00006994612,0.002653423],"domain_scores_gemma":[0.9976018,0.0002777204,0.0001193116,0.001244735,0.00009879924,0.0006576407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003151968,0.0004642734,0.01674025,0.002160645,0.001822832,0.002588911,0.01206671,0.03880548,0.02911297,0.3585576,0.04912981,0.4882353],"study_design_scores_gemma":[0.001721619,0.001097883,0.02222661,0.0006781353,0.0004009101,0.0008752847,0.006413398,0.03442409,0.00259773,0.02240524,0.9037703,0.003388851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9124591,0.02956909,0.0004250648,0.004569704,0.001764807,0.0005145384,0.0003786758,0.001354262,0.04896479],"genre_scores_gemma":[0.9877222,0.005055281,0.002436421,0.0003442912,0.001227583,0.00006878969,0.00007458826,0.0000916705,0.002979149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8546404,"threshold_uncertainty_score":0.999836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937761824823547,"score_gpt":0.2024564695207482,"score_spread":0.1830788512725127,"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."}}