{"id":"W4306399776","doi":"10.1002/ecs2.4255","title":"Wildfire evacuation patterns and syndromes across Canada's forested regions","year":2022,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Thompson Rivers University; Canadian Forest Service","funders":"","keywords":"Vulnerability (computing); Geography; Climate change; Land cover; Disturbance (geology); Land use; Environmental resource management; Ecology; Environmental science; Biology; Computer science; Computer security","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":[0.0003445185,0.0003974547,0.0002405844,0.002079463,0.001699085,0.0009625211,0.0008044971,0.00022654,0.001284493],"category_scores_gemma":[0.00144533,0.0001488713,0.0004235768,0.003591254,0.0005884279,0.0002856119,0.001057194,0.0003655761,0.0001290675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0113687,"about_ca_system_score_gemma":0.01308441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889389,"about_ca_topic_score_gemma":0.9966125,"domain_scores_codex":[0.9996356,0.00001873708,0.00002734058,0.00007379275,0.0001011377,0.0001434545],"domain_scores_gemma":[0.998779,0.00008492676,0.0003125099,0.00005180632,0.0004900732,0.0002816209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009898577,0.00001775723,0.9876958,0.00004753332,0.00006355804,0.00008598992,0.001196456,0.0008587965,0.0003936348,0.0001549734,0.001783136,0.007603345],"study_design_scores_gemma":[0.000003274504,0.000007425881,0.9959371,0.0000287481,0.00001091057,0.00004338289,0.002082812,0.000838697,0.00008341681,0.00003661514,0.0009177316,0.000009889402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897198,0.0002750493,0.0001989144,0.00009885131,0.000005091563,0.00002992946,0.008317196,0.00002123312,0.001333972],"genre_scores_gemma":[0.9936873,0.0002127538,0.0003338783,0.00002769979,0.00000211083,0.00001440023,0.005214568,0.000004561837,0.0005027661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0113687,"threshold_uncertainty_score":0.08248603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006483561180054541,"score_gpt":0.2043011062238,"score_spread":0.1978175450437454,"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."}}