{"id":"W7144014987","doi":"10.15083/0002007185","title":"トランスオミクス解析を用いた肝臓-筋肉間代謝サイクルの肥満による機能障害の制御機構の解明","year":2021,"lang":"en","type":"dissertation","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Institute of Genetics; Japan Science and Technology Agency; Japan Society for the Promotion of Science; Research Organization of Information and Systems","keywords":"Process (computing); Work (physics); Product (mathematics); Set (abstract data type); Information system","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":[0.001171074,0.0002173301,0.0001962635,0.001006747,0.002133289,0.004914116,0.0002333431,0.0006388808,0.04514378],"category_scores_gemma":[0.001943156,0.0001532587,0.0001621628,0.001461565,0.00208694,0.002837641,0.000858969,0.00121494,0.01078318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002717414,"about_ca_system_score_gemma":0.005706597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004845007,"about_ca_topic_score_gemma":0.01074042,"domain_scores_codex":[0.9994594,0.0001173261,0.00003505262,0.00008941912,0.0002184075,0.00008043113],"domain_scores_gemma":[0.9987407,0.0002548924,0.00008724489,0.0000699503,0.0005477239,0.0002994706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001238229,0.0002094561,0.009096315,0.0005860036,0.00001644457,0.0002901338,0.02349232,0.0003933676,0.003608292,0.5026072,0.1497404,0.3098362],"study_design_scores_gemma":[0.0000169859,0.00005429063,0.01554815,0.0004948334,0.0000176586,0.0002284331,0.01718946,0.000263521,0.00330189,0.04093432,0.921931,0.00001939225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02312763,0.00461233,0.003626194,0.008878989,0.0005093251,0.00008568459,0.0004342071,0.00006672353,0.9586589],"genre_scores_gemma":[0.3450587,0.01256404,0.01019689,0.001360122,0.000450875,0.0001872453,0.0006290902,0.0001511901,0.6294018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04514378,"threshold_uncertainty_score":0.151021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008832882194564223,"score_gpt":0.2304365128118573,"score_spread":0.221603630617293,"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."}}