{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007706212,0.0004929041,0.0005521625,0.0002403175,0.000131252,0.0000391627,0.0007924218,0.0005351179,0.002554518],"category_scores_gemma":[0.0003097035,0.0004959456,0.0001464818,0.000452673,0.0004277698,0.0003315753,0.0001692667,0.001256348,0.002730289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453362,"about_ca_system_score_gemma":0.000223658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001113415,"about_ca_topic_score_gemma":0.00002183216,"domain_scores_codex":[0.997286,0.0001122005,0.0005924969,0.0004896833,0.0006125463,0.0009070489],"domain_scores_gemma":[0.9982899,0.0001242515,0.00007048214,0.0006673285,0.0001022707,0.0007458008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002240134,0.0004221948,0.001573851,0.0007735639,0.00110299,0.001396787,0.009515136,0.001612283,0.00248016,0.03010413,0.9021388,0.04865614],"study_design_scores_gemma":[0.006428795,0.0005726567,0.00071747,0.0003967906,0.0005119395,0.0003964103,0.006225356,0.05235204,0.006256547,0.0295149,0.894727,0.001900114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1503408,0.0770052,0.001944806,0.009221374,0.01252446,0.0008199451,0.0001765825,0.003510498,0.7444564],"genre_scores_gemma":[0.9934499,0.00247004,0.0007835996,0.0004527906,0.001040981,0.00004603975,0.00004938891,0.00007854196,0.001628708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8431091,"threshold_uncertainty_score":0.9997492,"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."}}