{"id":"W4234186961","doi":"10.32920/ryerson.14663277","title":"Drinking water quality and trust : communities and risk information","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Perception; Government (linguistics); Risk perception; Business; Risk communication; Water quality; Quality (philosophy); Water source; Environmental health; Environmental planning; Psychology; Geography; Water resource management; Medicine; Environmental science; Risk analysis (engineering)","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":[0.002103508,0.0001478153,0.00021689,0.001014621,0.00357441,0.003879437,0.0003976812,0.0007016356,0.00370188],"category_scores_gemma":[0.01117711,0.0001960258,0.0001908559,0.001015519,0.003761329,0.001701303,0.002443571,0.0006925403,0.0001014964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01193462,"about_ca_system_score_gemma":0.01062603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5220128,"about_ca_topic_score_gemma":0.5418881,"domain_scores_codex":[0.997754,0.0009247065,0.00007811626,0.0001079043,0.0007514176,0.0003837547],"domain_scores_gemma":[0.9909122,0.002588365,0.002838212,0.0002893535,0.001504425,0.001867392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002754602,0.0004059963,0.7357125,0.0001954243,0.0001368613,0.001075442,0.173168,0.0006428531,0.001031199,0.01905644,0.00423085,0.06406909],"study_design_scores_gemma":[0.0000320417,0.0001709509,0.8026435,0.0002778165,0.00006715783,0.0003115979,0.1617249,0.002025419,0.0002944741,0.009179554,0.02319887,0.00007375675],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695824,0.0005939493,0.0007107436,0.004551468,0.00001329634,0.0000295029,0.00004763173,0.00000691313,0.02446413],"genre_scores_gemma":[0.9991835,0.0001418645,0.00007612115,0.00004363489,0.000002622209,0.000003028752,0.000007026657,9.24045e-7,0.0005412767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5220128,"threshold_uncertainty_score":0.9616044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0659070867560272,"score_gpt":0.3495829441518247,"score_spread":0.2836758573957975,"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."}}