{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008108225,0.0003966444,0.0006088119,0.0002337185,0.0001706933,0.00007556476,0.0003202142,0.0004757966,0.0003239372],"category_scores_gemma":[0.00005454469,0.0003322716,0.0006025507,0.0001702717,0.0001296508,0.0002358572,0.00004885015,0.0006729111,0.00001137879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000834761,"about_ca_system_score_gemma":0.0007250438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002491217,"about_ca_topic_score_gemma":0.0005406105,"domain_scores_codex":[0.9976471,0.00003837852,0.0005259417,0.0004641493,0.000897825,0.0004265996],"domain_scores_gemma":[0.9984363,0.00006899928,0.0001372938,0.0005691932,0.0006735966,0.0001145879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001279764,0.00003226692,0.0006903257,0.0008798417,0.0009657053,0.000002268638,0.00008705717,0.2656022,0.00004478202,0.0002687657,0.7088712,0.02254279],"study_design_scores_gemma":[0.0001611971,0.0000364603,0.00039538,0.00007266461,0.0003411782,0.00001267519,0.00004366201,0.8600403,0.0001000863,0.006877402,0.1314201,0.0004988713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01072179,0.003284146,0.6568334,0.0001357836,0.006488642,0.001344621,0.0004306435,0.0009744391,0.3197865],"genre_scores_gemma":[0.8925202,0.006785328,0.05741767,0.000210987,0.008191583,0.000580286,0.001836696,0.0003420813,0.03211515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8817984,"threshold_uncertainty_score":0.9999129,"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."}}