{"id":"W617447213","doi":"","title":"保型形式とゼータ (特集 数論の探求--ゼータからその世界に迫る)","year":2011,"lang":"ja","type":"article","venue":"数理科学","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076583,0.0002942931,0.0001747863,0.0006291979,0.002328173,0.003290711,0.000380365,0.001044512,0.01274352],"category_scores_gemma":[0.001686262,0.0001537026,0.0002398526,0.0004283344,0.006914193,0.002206194,0.001106765,0.001262144,0.00352708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002025866,"about_ca_system_score_gemma":0.002422483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004976599,"about_ca_topic_score_gemma":0.004788041,"domain_scores_codex":[0.9992995,0.0001446487,0.00004435151,0.0001284461,0.0002768558,0.0001061859],"domain_scores_gemma":[0.9992848,0.0001718976,0.00009309801,0.00007643827,0.0002894781,0.00008430708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001974109,0.00003567889,0.0008932496,0.00006559399,0.000007534382,0.0001584941,0.002346492,0.0001463832,0.001165572,0.9590824,0.00670557,0.02937336],"study_design_scores_gemma":[0.00001674257,0.0001244807,0.004878104,0.0001558074,0.00003089025,0.0007094241,0.005723211,0.0005572893,0.006936014,0.4775056,0.503319,0.00004349453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0383683,0.002993773,0.02274945,0.007938008,0.001300501,0.0001344135,0.0001734333,0.00009523291,0.9262469],"genre_scores_gemma":[0.6973759,0.002777342,0.01869788,0.002275718,0.000720469,0.000172313,0.0001299236,0.00006011961,0.2777904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01274352,"threshold_uncertainty_score":0.04263139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138369096686827,"score_gpt":0.1951510588768202,"score_spread":0.1737673679099519,"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."}}