{"id":"W2611028329","doi":"10.1111/risa.12826","title":"Multi‐Exposure Pathway Model to Compare <i>Escherichia coli</i> O157 Risks and Interventions","year":2017,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Agency of Canada","funders":"Public Health Agency of Canada; Canadian Food Inspection Agency","keywords":"Environmental health; Psychological intervention; Risk assessment; Exposure assessment; Environmental science; Population; Recreation; Medicine; Biology; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001464518,0.001110003,0.001036978,0.0007181102,0.0004251658,0.001234505,0.002310269,0.001955752,0.007127285],"category_scores_gemma":[0.002759472,0.0005893678,0.001480985,0.0006974306,0.0005468862,0.0008978149,0.001145544,0.001674517,0.0004471099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679953,"about_ca_system_score_gemma":0.002313819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03294947,"about_ca_topic_score_gemma":0.01208395,"domain_scores_codex":[0.9994313,0.0002649034,0.00001921202,0.0001143777,0.00005991507,0.0001102402],"domain_scores_gemma":[0.9984832,0.0009763188,0.0001822429,0.000041982,0.0002056298,0.000110608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005526278,0.00003990155,0.001208692,0.00002959259,0.00003683451,0.00005216635,0.00001755877,0.9948537,0.0002486215,0.002352325,0.000160104,0.0009452603],"study_design_scores_gemma":[0.00002434816,0.00007283181,0.0004196703,0.000006917144,0.00003407876,0.00001744787,0.00002914716,0.9968335,0.00009931572,0.001879698,0.0005725241,0.00001057674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4620551,0.001330543,0.4969467,0.002403427,0.0002658306,0.0009247182,0.008618729,0.0007278617,0.0267271],"genre_scores_gemma":[0.9551556,0.000571668,0.02280123,0.0002792916,0.00003788209,0.0009010117,0.001540356,0.00007350292,0.01863941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03294947,"threshold_uncertainty_score":0.0655154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09530125933333547,"score_gpt":0.3397344001456223,"score_spread":0.2444331408122869,"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."}}