{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006597266,0.0001923693,0.0003966228,0.00007387406,0.0003239257,0.00002322404,0.0001815509,0.00006497358,0.0004381777],"category_scores_gemma":[0.00001350184,0.0001245044,0.0001315199,0.00004030907,0.00008185092,0.0005031349,0.0001433662,0.0004671769,0.00006128228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836049,"about_ca_system_score_gemma":0.00001990351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001772958,"about_ca_topic_score_gemma":0.00002615788,"domain_scores_codex":[0.9969479,0.0004510551,0.001058335,0.0001915824,0.0004021545,0.0009489494],"domain_scores_gemma":[0.9988636,0.00008023238,0.000487812,0.0001632974,0.000002301916,0.000402717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007529132,0.0005809101,0.9231573,0.00006977366,0.00002203544,0.000003537448,0.008933082,0.002027146,0.006169477,0.000009033572,0.0003278394,0.05862452],"study_design_scores_gemma":[0.001984758,0.001830788,0.952306,0.0001721938,0.00001458006,0.00007009675,0.002026719,0.0003686881,0.006205647,0.0004873417,0.03418526,0.0003479481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944766,0.000228575,0.002555645,0.001664856,0.0006523749,0.0003169072,0.00001108228,0.000008314146,0.00008567297],"genre_scores_gemma":[0.9916962,0.0002581376,0.006867906,0.0005857713,0.0003955319,0.000009709777,0.00001001595,0.00002892823,0.000147741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05827658,"threshold_uncertainty_score":0.5077142,"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."}}