{"id":"W2810553315","doi":"10.4095/308352","title":"Inventory models for regional scale natural hazards risk assessment","year":2018,"lang":"en","type":"report","venue":"","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Scale (ratio); Natural hazard; Environmental science; Natural (archaeology); Geography; Cartography; Meteorology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001861998,0.001119942,0.0009947011,0.001755147,0.0006324201,0.00257311,0.002828021,0.001120059,0.009125693],"category_scores_gemma":[0.004778144,0.001089816,0.001597786,0.002365958,0.0006592972,0.001960294,0.001277185,0.001562011,0.001994066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003172568,"about_ca_system_score_gemma":0.002664848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1254086,"about_ca_topic_score_gemma":0.08641516,"domain_scores_codex":[0.9993056,0.0002327389,0.00005271175,0.0001211499,0.0001946493,0.00009324639],"domain_scores_gemma":[0.9976789,0.00124075,0.0002581018,0.0001625836,0.0005551209,0.0001044906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008513404,0.00001008665,0.0008304324,0.00001617703,0.000020643,0.00002286786,0.00002780086,0.9857098,0.00005933463,0.008202708,0.0008540748,0.004237659],"study_design_scores_gemma":[0.000005157516,0.0000050545,0.0001716807,0.00000864369,0.000009665594,0.00001270052,0.00002313125,0.9904236,0.00004002596,0.007100555,0.002191099,0.000008539542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0285216,0.0009521849,0.9396304,0.0005059413,0.0001175803,0.000202416,0.005467471,0.001718058,0.02288429],"genre_scores_gemma":[0.6586616,0.003697368,0.2934793,0.0002737425,0.0002151246,0.001211336,0.009972531,0.0009005402,0.0315884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1254086,"threshold_uncertainty_score":0.2493573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293727775730396,"score_gpt":0.3004081931900281,"score_spread":0.2774709154327241,"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."}}