{"id":"W2094435797","doi":"10.1111/j.1539-6924.2009.01321.x","title":"A Risk Assessment Model to Evaluate the Role of Fecal Contamination in Recreational Water on the Incidence of Cryptosporidiosis at the Community Level in Ontario","year":2009,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre; University of Guelph; Public Health Agency of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Centers for Disease Control and Prevention; Canadian Water Network","keywords":"Cryptosporidium; Recreation; Environmental health; Fecal coliform; Risk assessment; Veterinary medicine; Feces; Contamination; Biology; Ecology; Medicine; Water quality","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002353471,0.00009232853,0.0002331236,0.0001715956,0.0003239077,0.000006748705,0.0002025287,0.00007869991,0.000222819],"category_scores_gemma":[0.0003492573,0.00004328266,0.0001257523,0.0003610911,0.0001011831,0.00003307503,0.0000580934,0.0004755856,0.00001846431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732988,"about_ca_system_score_gemma":0.00008039335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1347525,"about_ca_topic_score_gemma":0.3837061,"domain_scores_codex":[0.9981046,0.001230708,0.0003329963,0.0001075958,0.00008548966,0.0001386241],"domain_scores_gemma":[0.9980488,0.001287629,0.0001282864,0.0003872002,0.0001401048,0.000007932785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001080363,0.0003235843,0.8210779,5.432882e-7,0.0003323131,1.940757e-7,0.004761837,0.163345,0.006288906,0.0021415,0.00004580586,0.001574378],"study_design_scores_gemma":[0.0002993472,0.0001104874,0.9664838,0.00001438032,0.0005513367,6.552439e-7,0.0006008793,0.01095032,0.01729163,0.003608442,0.00003414041,0.00005457449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963867,0.00006125322,0.002012328,0.0004198659,0.00001769392,0.0002101101,0.0000570936,0.000002621043,0.0008323129],"genre_scores_gemma":[0.9995141,0.00007868588,0.00007032426,0.000108416,0.00000225295,0.00003403959,0.00006559956,0.000002159588,0.0001244438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2489536,"threshold_uncertainty_score":0.8710092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02761902487951698,"score_gpt":0.300561654262499,"score_spread":0.272942629382982,"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."}}