{"id":"W7145127025","doi":"","title":"大洗研究開発センター廃棄物管理施設における森林火災の及ぼす影響評価","year":2016,"lang":"ja","type":"report","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fire protection; Forest management; Research center; Intensity (physics); Fire control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003365901,0.0003081406,0.0003354876,0.004399829,0.000691623,0.001528258,0.0005726836,0.0002502121,0.003919058],"category_scores_gemma":[0.002720729,0.0002210875,0.0003323168,0.004631589,0.0003095622,0.0009849994,0.0005658134,0.0003295829,0.001599348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834373,"about_ca_system_score_gemma":0.003896967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03234997,"about_ca_topic_score_gemma":0.05621549,"domain_scores_codex":[0.9976648,0.0002759183,0.0002913609,0.0001752847,0.001437284,0.0001553094],"domain_scores_gemma":[0.9954484,0.0007795898,0.0006775971,0.0003657218,0.002572446,0.0001562059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001352699,0.0007656743,0.5535277,0.00138132,0.00007600531,0.0008230648,0.000842449,0.01396166,0.02346921,0.0108266,0.05106134,0.3419122],"study_design_scores_gemma":[0.00008777834,0.0005932712,0.6063182,0.0002986717,0.0001825394,0.001137646,0.002922205,0.03066597,0.1514616,0.004282665,0.2018923,0.000157055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6648843,0.003072908,0.04325087,0.0009183823,0.000128668,0.001847995,0.1469665,0.002406995,0.1365234],"genre_scores_gemma":[0.757401,0.004303704,0.07256368,0.0001814043,0.0000476591,0.000817327,0.1276922,0.0001649177,0.03682809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03234997,"threshold_uncertainty_score":0.06432337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04142749643856542,"score_gpt":0.3071852177573844,"score_spread":0.265757721318819,"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."}}