{"id":"W4413994676","doi":"10.1016/j.socimp.2026.100186","title":"Societal Impact of Behavioral Risk to Environmental Hazards in HEI","year":2025,"lang":"en","type":"preprint","venue":"Societal Impacts","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Business; Environmental risk assessment; Risk assessment; Risk analysis (engineering); Environmental planning; Environmental science; Computer science; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007759637,0.0007170397,0.000861567,0.000141886,0.0001193229,0.00008398083,0.00116585,0.0005135845,0.002453297],"category_scores_gemma":[0.00004296853,0.0006975541,0.001186931,0.0004343484,0.0004135426,0.0002105534,0.006569218,0.001213956,0.0003039589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00356612,"about_ca_system_score_gemma":0.000143555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02286941,"about_ca_topic_score_gemma":0.001291623,"domain_scores_codex":[0.9959723,0.0002264617,0.0007957274,0.0009976435,0.0009667006,0.001041121],"domain_scores_gemma":[0.9978408,0.00005346665,0.0004626164,0.001170868,0.000006381984,0.0004658865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001100603,0.001630075,0.3897186,0.0001467668,0.0004187335,0.00003697291,0.01401699,0.568593,0.001698962,0.000008289771,0.01660452,0.007017036],"study_design_scores_gemma":[0.001780301,0.001054943,0.9674716,0.0003693248,0.0004512801,0.000006120071,0.002835012,0.02205228,0.000654023,0.001017887,0.0005758802,0.001731353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987138,0.0001629425,0.00005714927,0.00009263197,0.0003454121,0.001404813,0.001225736,0.00004552094,0.009527812],"genre_scores_gemma":[0.9968415,0.0002368885,0.0009045044,0.0001323411,0.00005714671,0.0000814235,0.0001287722,0.00004858333,0.001568852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5777531,"threshold_uncertainty_score":0.9995475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134390946188326,"score_gpt":0.337228845385757,"score_spread":0.3158849359238738,"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."}}