{"id":"W31699900","doi":"10.1074/jbc.ra119.010302","title":"「クリミア後」の国際政治 : ウクライナ危機の影響をめぐって","year":2014,"lang":"en","type":"article","venue":"レファレンス","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Government of Canada","keywords":"Computer science","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":[0.0002152505,0.0002608228,0.0001511166,0.0002715813,0.0003860351,0.0007622532,0.0002068512,0.0003500895,0.004195084],"category_scores_gemma":[0.0002075834,0.000159382,0.0001824367,0.0002260972,0.0005527826,0.000496767,0.0003083833,0.0004979569,0.002482453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007714891,"about_ca_system_score_gemma":0.0003454157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279881,"about_ca_topic_score_gemma":0.001336674,"domain_scores_codex":[0.9998515,0.00001275455,0.000008856894,0.00004939885,0.00005362291,0.00002394056],"domain_scores_gemma":[0.9998797,0.00001171955,0.00003061042,0.00001386789,0.00003562067,0.00002836382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002862747,0.00003869252,0.00404628,0.000172848,0.00002225394,0.0003478061,0.0001282015,0.0004816444,0.9222825,0.005077654,0.001038084,0.06607787],"study_design_scores_gemma":[0.0000135434,0.0001762143,0.01893366,0.00002348581,0.00002209496,0.000803587,0.0002034173,0.001462918,0.9200971,0.001765106,0.05647511,0.00002389081],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8796059,0.0160633,0.05166101,0.001656015,0.000534361,0.0001650148,0.00146078,0.0007627956,0.0480909],"genre_scores_gemma":[0.9555776,0.004307686,0.01538486,0.000208776,0.00006404666,0.00003673442,0.001115671,0.00006122213,0.02324343],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004195084,"threshold_uncertainty_score":0.01403397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002753509241892748,"score_gpt":0.1916202580832005,"score_spread":0.1888667488413077,"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."}}