{"id":"W6904802456","doi":"10.14989/154017","title":"&lt;知の先達たちに聞く(4) : 加賀谷寛先生をお迎えして&gt;私のイスラーム研究の回顧","year":2012,"lang":"ja","type":"other","venue":"Kyoto University Research Information Repository (Kyoto University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009069524,0.000492367,0.0002885586,0.001381219,0.003214004,0.004908137,0.0007715377,0.001937324,0.167837],"category_scores_gemma":[0.003225664,0.0004195743,0.0004973291,0.001424326,0.002464853,0.003684413,0.001445151,0.001535109,0.05439118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002765257,"about_ca_system_score_gemma":0.002829392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255104,"about_ca_topic_score_gemma":0.03849151,"domain_scores_codex":[0.999184,0.00009577602,0.00005762056,0.0001869761,0.0003598171,0.0001158449],"domain_scores_gemma":[0.9989429,0.0002295883,0.00008723767,0.0001495633,0.000481405,0.0001091559],"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":[0.0001575914,0.0001156242,0.002754132,0.0002040719,0.0000140466,0.0005529895,0.002377787,0.0004201666,0.001914204,0.5634453,0.3302478,0.09779627],"study_design_scores_gemma":[0.00003994874,0.00004989137,0.009523044,0.0002056539,0.00005613076,0.0005284982,0.002197035,0.001644182,0.006057492,0.1835691,0.7960616,0.00006735577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006848132,0.0003310918,0.006494904,0.004143264,0.0004555244,0.00009414875,0.001779995,0.0003375743,0.9795153],"genre_scores_gemma":[0.146065,0.0008565105,0.01155885,0.001256275,0.0003229252,0.0001392473,0.00207797,0.0004514664,0.8372719],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.167837,"threshold_uncertainty_score":0.5614706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021570654883412,"score_gpt":0.2498532354174748,"score_spread":0.2196375288686407,"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."}}