{"id":"W2360839103","doi":"","title":"Water Intake Rate in Health Risk Assessment for Drinking Water Exposure","year":2012,"lang":"en","type":"article","venue":"Journal of environmental health","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental health; Water intake; Environmental science; Affect (linguistics); Health risk assessment; Risk assessment; Health risk; Exposure assessment; Toxicology; Environmental engineering; Medicine; Psychology; Economics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004129956,0.0006943763,0.0007086901,0.002325219,0.0002474652,0.0008033381,0.0006698125,0.0006303227,0.001030783],"category_scores_gemma":[0.01001601,0.0002569503,0.0008309092,0.001826773,0.0003668586,0.001102744,0.0006497716,0.000510858,0.0004079315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004403107,"about_ca_system_score_gemma":0.0003814704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003433792,"about_ca_topic_score_gemma":0.002209987,"domain_scores_codex":[0.995308,0.002587366,0.0002964607,0.0004329803,0.001278022,0.00009723554],"domain_scores_gemma":[0.9962703,0.002145199,0.0005703831,0.0003202905,0.0006089162,0.00008490546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001214379,0.0002919273,0.5173782,0.001691546,0.0007937924,0.0007605092,0.000851522,0.08132699,0.0137385,0.0111486,0.003423233,0.3673809],"study_design_scores_gemma":[0.00008119796,0.003065751,0.4998337,0.0009868334,0.001550649,0.003514227,0.00176326,0.3669392,0.04045462,0.02965979,0.05158889,0.0005618615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5279647,0.02436513,0.4206023,0.001046516,0.0004861257,0.0005528288,0.003865874,0.000812051,0.02030448],"genre_scores_gemma":[0.9336751,0.004685487,0.05706347,0.00011582,0.0001317082,0.0002485603,0.0009771079,0.00007338323,0.00302932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004129956,"threshold_uncertainty_score":0.02184159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763837486116007,"score_gpt":0.305955333078393,"score_spread":0.2783169582172329,"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."}}