{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001115387,0.0001989442,0.0001350624,0.0006812857,0.0008592444,0.001235366,0.0001983176,0.0002856097,0.003941384],"category_scores_gemma":[0.00387415,0.00009029727,0.0001486564,0.0006650524,0.0009633367,0.0005937596,0.001322784,0.0004769274,0.0001555472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656392,"about_ca_system_score_gemma":0.00117615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007561624,"about_ca_topic_score_gemma":0.01616873,"domain_scores_codex":[0.9990941,0.0005397761,0.00002451009,0.00005369422,0.000145746,0.0001420764],"domain_scores_gemma":[0.9971928,0.001030198,0.001001646,0.0001052057,0.0002930224,0.0003771388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005262921,0.0003118661,0.9613847,0.00003668572,0.00003028071,0.0003450194,0.01026273,0.000937742,0.0008607215,0.002019383,0.0004194082,0.02333876],"study_design_scores_gemma":[0.000004691522,0.0002781757,0.9344121,0.00004507159,0.00001759959,0.0001722913,0.05764676,0.001811864,0.0008280832,0.001924632,0.002843573,0.00001523298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974214,0.00002826018,0.0001906345,0.000317235,0.000002586958,0.000007815118,0.00002456854,0.000001751841,0.002005754],"genre_scores_gemma":[0.9996877,0.00003750899,0.00007113443,0.00001713034,0.000001770298,0.000003341444,0.000009633932,4.704286e-7,0.0001713923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007561624,"threshold_uncertainty_score":0.01503521,"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."}}