{"id":"W4404740616","doi":"10.1061/jhyeff.heeng-6318","title":"A Streamlined Model-Based Strategy for Screening Wildfire Impact Scenarios Related to Peak Flood Flows: Hazard Prevention in Data-Limited Regions","year":2024,"lang":"en","type":"article","venue":"Journal of Hydrologic Engineering","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flood myth; Environmental science; Hazard; Hydrological modelling; Flood risk management; Hydrology (agriculture); Computer science; Geology; Geography; Climatology","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":[],"consensus_categories":[],"category_scores_codex":[0.001296939,0.0002325361,0.0003516048,0.0003106066,0.00004599573,0.00008003429,0.000455099,0.0001446281,0.00003063039],"category_scores_gemma":[0.00032246,0.0001899458,0.000177977,0.0005624589,0.0000134272,0.000598478,0.00009431688,0.0004236957,0.00001291842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319728,"about_ca_system_score_gemma":0.00006030362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004872647,"about_ca_topic_score_gemma":0.0001059256,"domain_scores_codex":[0.9982743,0.00006124127,0.0006474569,0.0003342995,0.000291031,0.0003916218],"domain_scores_gemma":[0.999127,0.0002013064,0.0001417873,0.0003423067,0.00001170621,0.0001759029],"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":[0.0000726479,0.00006060709,0.0008691508,0.00004964573,0.00006382614,0.00009969269,0.00008280999,0.9862718,0.009155242,0.000004542794,0.0003589315,0.002911089],"study_design_scores_gemma":[0.0007051927,0.0007991384,0.002021514,0.0005343647,0.000058225,0.0001022923,0.00001314944,0.9952199,0.0000913882,0.00008697412,0.0001765694,0.0001913071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8456144,0.0002848064,0.1529446,0.000368841,0.0001855124,0.0004685732,0.00002272242,0.00008748355,0.00002303491],"genre_scores_gemma":[0.9855903,0.000007016639,0.01419348,0.0000232099,0.00006107932,0.00001942024,0.00003053412,0.00003947754,0.00003542311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.139976,"threshold_uncertainty_score":0.7745766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494419513874617,"score_gpt":0.2832434808740515,"score_spread":0.2582992857353053,"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."}}