{"id":"W2599597792","doi":"","title":"レジリエントな社会を構築する仕組みづくり：リスク，ガバナンス，リーダーシップの観点から","year":2015,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00177542,0.0002857287,0.0001949346,0.0008856888,0.001779225,0.005529241,0.000538684,0.001176267,0.01321374],"category_scores_gemma":[0.002239483,0.0001698907,0.0001849298,0.000680304,0.005154581,0.003272359,0.0009210812,0.001473619,0.002503891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003613221,"about_ca_system_score_gemma":0.004286728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00413294,"about_ca_topic_score_gemma":0.003597622,"domain_scores_codex":[0.999047,0.0002277469,0.00004133963,0.0001421811,0.0004187656,0.0001229735],"domain_scores_gemma":[0.9986587,0.0003764248,0.0001619825,0.00008577063,0.000518596,0.0001985431],"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":[0.00002654226,0.0000625075,0.001487104,0.0001749085,0.00002044461,0.000127013,0.002702494,0.0005926509,0.001584299,0.9141937,0.009223695,0.06980464],"study_design_scores_gemma":[0.0000187,0.0001251749,0.006750488,0.0003047606,0.00004188956,0.0003772513,0.00975631,0.001285653,0.003933558,0.5736797,0.4036729,0.00005360874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05250585,0.00835287,0.01769107,0.04123555,0.001226219,0.00009094147,0.0001354915,0.00008560131,0.8786764],"genre_scores_gemma":[0.8604983,0.006370727,0.00829572,0.003704366,0.0006383493,0.00007362309,0.00005449166,0.00002832355,0.1203362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01321374,"threshold_uncertainty_score":0.04420441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095460649644113,"score_gpt":0.2740437244058697,"score_spread":0.2430891179094286,"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."}}