{"id":"W34993526","doi":"10.1186/s13663-021-00709-0","title":"明石欽司著『ウェストファリア条約--その実像と神話』","year":2010,"lang":"en","type":"article","venue":"国際法外交雑誌","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet","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":[0.002066291,0.000539429,0.0004672779,0.0003838869,0.000992762,0.001341439,0.0005792199,0.0007274037,0.004087763],"category_scores_gemma":[0.004871662,0.0004048892,0.0006994095,0.0004007161,0.002059265,0.002753865,0.001283666,0.001268979,0.001000282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007535779,"about_ca_system_score_gemma":0.001300753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005953035,"about_ca_topic_score_gemma":0.0008015224,"domain_scores_codex":[0.9993058,0.0001586816,0.00005281482,0.0001867426,0.0002375322,0.00005838657],"domain_scores_gemma":[0.9987814,0.000507904,0.0001809023,0.0001418269,0.0003166459,0.00007138736],"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":[0.0001292737,0.00006838467,0.002697388,0.0003657693,0.00006639052,0.000268581,0.0004150987,0.06205478,0.01936106,0.8058576,0.001324438,0.1073912],"study_design_scores_gemma":[0.00003862583,0.000349903,0.001357512,0.0001033716,0.00005915336,0.0008083445,0.0004453841,0.4497803,0.04402748,0.4767244,0.0262412,0.00006441621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05252795,0.0005517505,0.9298298,0.0004995738,0.0001314214,0.0001581075,0.00006509868,0.0001667453,0.01606966],"genre_scores_gemma":[0.527862,0.0008122295,0.4565994,0.0002452407,0.0001155668,0.0002759078,0.0001268147,0.0001334064,0.01382933],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004087763,"threshold_uncertainty_score":0.01367497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003785155928821781,"score_gpt":0.2072024351628342,"score_spread":0.2034172792340124,"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."}}