{"id":"W4307288513","doi":"10.1016/j.scitotenv.2022.159677","title":"Classification of sub-populations for quantitative risk assessment based on awareness and perception: A cross-sectional population study of private well users in Ontario","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre; Public Health Ontario; Queen's University","funders":"","keywords":"Risk perception; Logistic regression; Perception; Psychology; Environmental health; Cluster (spacecraft); Population; Risk assessment; Demographics; Educational attainment; Cross-sectional study; Applied psychology; Medicine; Demography; Computer security; Computer science","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":[0.0007242689,0.0003961762,0.0005356302,0.001323955,0.002741633,0.001537641,0.000889201,0.0005433502,0.001241419],"category_scores_gemma":[0.002186672,0.000638742,0.0008149854,0.002547118,0.001021337,0.0009101453,0.001315033,0.0007732172,0.0002527131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006569245,"about_ca_system_score_gemma":0.0056161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9107615,"about_ca_topic_score_gemma":0.9492434,"domain_scores_codex":[0.9989542,0.0001390506,0.0001039462,0.0001725093,0.0003011265,0.0003291363],"domain_scores_gemma":[0.9987004,0.0001111096,0.0003705653,0.00008348782,0.0004337304,0.0003006503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005170732,0.00006227394,0.9926563,0.0000111158,0.00002760794,0.00004991103,0.005530612,0.00001973544,0.0003061138,0.00003987185,0.0001080729,0.001136758],"study_design_scores_gemma":[0.000002919034,0.00003599914,0.9944434,0.000006042429,0.00001011359,0.00003187532,0.005186561,0.00009253763,0.00002739637,0.00001808135,0.0001398735,0.000005246005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992306,0.00004541114,0.00009787286,0.0000386046,0.000001779981,0.0000344626,0.0002167835,0.00000202356,0.0003323629],"genre_scores_gemma":[0.9990838,0.00005568369,0.0001186039,0.00002637485,0.000001493194,0.00002311517,0.0002281435,0.000002538432,0.0004603063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08923852,"threshold_uncertainty_score":0.1795281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07682155235104227,"score_gpt":0.3615615623743638,"score_spread":0.2847400100233216,"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."}}