{"id":"W4406169075","doi":"10.1088/2752-5309/ada793","title":"Patterns and trends of heat and wildfire smoke indicators across rural–urban and social vulnerability gradients in Idaho","year":2025,"lang":"en","type":"article","venue":"Environmental Research Health","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Vulnerability (computing); Smoke; Urban heat island; Social vulnerability; Geography; Environmental science; Heat wave; Meteorology; Ecology; Climate change; Psychology; Psychological resilience; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000195425,0.0001432377,0.0001401026,0.0006088518,0.0004095282,0.0003659305,0.0002664796,0.0001386577,0.001213075],"category_scores_gemma":[0.0003309289,0.00008816636,0.000144402,0.0006860517,0.0002046507,0.0001166219,0.000713008,0.0001757429,0.0001398053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009459394,"about_ca_system_score_gemma":0.0006117457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1042173,"about_ca_topic_score_gemma":0.1776836,"domain_scores_codex":[0.9999038,0.00002212323,0.000009546985,0.00001897488,0.00001715305,0.00002842589],"domain_scores_gemma":[0.9997502,0.0000321183,0.00008380769,0.00001557845,0.00007120417,0.00004717344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003259966,0.00000951994,0.9974668,0.00001933825,0.0000192818,0.00002835274,0.0002955072,0.00009030648,0.000310917,0.00005225795,0.0003434707,0.001331669],"study_design_scores_gemma":[7.101617e-7,0.000004475512,0.9984285,0.000008540266,0.00000524877,0.00001993869,0.0009843702,0.0001446497,0.00008881882,0.00001439267,0.0002984625,0.000001837114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972675,0.00007719715,0.00007311899,0.00008173528,0.000006224569,0.000008338629,0.001446079,0.000003834049,0.001036092],"genre_scores_gemma":[0.9983366,0.00005796549,0.0001053849,0.00003992658,0.000004728342,0.0000197567,0.0009822621,0.00000136801,0.0004520513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042173,"threshold_uncertainty_score":0.2072213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873939487375285,"score_gpt":0.3509005002938451,"score_spread":0.3321611054200922,"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."}}