{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250131,0.00007800075,0.0001254955,0.00005560631,0.0005472918,0.000714267,0.00009477692,0.0001097851,0.0007986205],"category_scores_gemma":[0.00002446816,0.00006128391,0.0000265579,0.0000196999,0.0001752612,0.0003517634,0.0007174526,0.0002193729,0.000009765866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003578879,"about_ca_system_score_gemma":0.00002216447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08813545,"about_ca_topic_score_gemma":0.05030261,"domain_scores_codex":[0.9990571,0.0003803801,0.0001874689,0.00007435176,0.0001827765,0.0001179908],"domain_scores_gemma":[0.9996385,0.00003243441,0.00006692172,0.0001541373,0.00006165113,0.0000463772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005303416,0.00001662324,0.0682176,0.0001532541,0.00005710117,2.957754e-7,0.8049071,0.00002945053,0.000002489096,0.02202005,0.000640651,0.10395],"study_design_scores_gemma":[0.0001956019,0.000006563359,0.1896115,0.00004831347,0.00004074238,1.784075e-7,0.6061556,0.0002123339,0.00001288065,0.004707678,0.1987474,0.0002612241],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8889275,0.00003777033,0.001616165,0.001315919,0.0001886642,0.0001769429,0.000003112391,0.00006711257,0.1076669],"genre_scores_gemma":[0.9855638,0.01183182,0.0006188925,0.0004358534,0.00004018058,0.00001437269,0.00007131294,0.000002402759,0.001421411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1987516,"threshold_uncertainty_score":0.9670269,"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."}}