{"id":"W2098926551","doi":"10.1186/1742-5573-3-6","title":"Exposure assessment in investigations of waterborne illness: a quantitative estimate of measurement error","year":2006,"lang":"en","type":"article","venue":"Epidemiologic Perspectives & Innovations","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Guelph; Health Sciences Centre; Memorial University of Newfoundland","funders":"Health Canada; Public Health Agency; Public Health Agency of Canada; University of Guelph","keywords":"Water source; Environmental health; Water consumption; Measure (data warehouse); Environmental science; Statistics; Medicine; Computer science; Data mining; Water resource management; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2932769,0.00123333,0.001403531,0.005246359,0.001048634,0.003750459,0.00207936,0.002059763,0.0007330847],"category_scores_gemma":[0.5332386,0.0006964795,0.002396241,0.005480353,0.00530102,0.003596233,0.004848448,0.002279643,0.0002080183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002449539,"about_ca_system_score_gemma":0.001958231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173035,"about_ca_topic_score_gemma":0.001698843,"domain_scores_codex":[0.590636,0.3038373,0.03812419,0.01468905,0.05179065,0.0009228225],"domain_scores_gemma":[0.2132765,0.6557127,0.06752869,0.03573767,0.02726403,0.0004804658],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007069157,0.0002578217,0.7781426,0.005607926,0.009967697,0.0002532976,0.007978832,0.02219939,0.003048379,0.0176297,0.002043912,0.1521635],"study_design_scores_gemma":[0.0002369348,0.002519497,0.7335855,0.007180182,0.006386369,0.003038764,0.004915872,0.1033001,0.01353243,0.09032685,0.03432548,0.0006521287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1436821,0.01474107,0.8272046,0.002640968,0.0005751492,0.002112888,0.001602262,0.0002838315,0.007157145],"genre_scores_gemma":[0.7858055,0.001830418,0.2074744,0.0009207027,0.0003593586,0.002266366,0.0006386216,0.00008720564,0.0006173768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9985965,"threshold_uncertainty_score":0.8715154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05781412159869137,"score_gpt":0.3303774082089495,"score_spread":0.2725632866102581,"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."}}