{"id":"W4410761722","doi":"10.1016/j.envc.2025.101193","title":"Quantitative microbial risk assessment for drinking water intake threat prioritization: a comparison of vulnerability and threat assessment according to source water protection regulations of two Canadian provinces","year":2025,"lang":"en","type":"article","venue":"Environmental Challenges","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Canadian Water Network","keywords":"Risk assessment; Prioritization; Vulnerability (computing); Vulnerability assessment; Environmental health; Threat assessment; Exposure assessment; Environmental science; Environmental protection; Environmental planning; Risk analysis (engineering); Business; Computer security; Computer science; Psychology; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00302957,0.0007607322,0.000513083,0.002287796,0.001440441,0.002197579,0.001082461,0.0004860395,0.0008427568],"category_scores_gemma":[0.006897636,0.0003534666,0.0009858561,0.002499316,0.001015449,0.0005951237,0.001223809,0.000463643,0.00006199514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03770575,"about_ca_system_score_gemma":0.03667582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9732323,"about_ca_topic_score_gemma":0.9745551,"domain_scores_codex":[0.9974935,0.0004500583,0.00009071805,0.0001816327,0.001365613,0.0004185502],"domain_scores_gemma":[0.9954975,0.001136518,0.0004769796,0.0001934733,0.002460499,0.0002350539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00067545,0.000162582,0.2435936,0.0003507423,0.000415433,0.0003435181,0.001555309,0.6721408,0.00725468,0.01270554,0.002263236,0.05853904],"study_design_scores_gemma":[0.00006612768,0.0002373907,0.4135686,0.00009787981,0.0002326336,0.00007759067,0.004173442,0.566846,0.004675246,0.002851804,0.006969438,0.000204043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608723,0.0003725297,0.01742224,0.0004897271,0.00001486233,0.0003027452,0.001764967,0.0001133122,0.01864739],"genre_scores_gemma":[0.9902514,0.0001774657,0.007331083,0.00003405752,0.000002388357,0.00006010199,0.000631686,0.00001504453,0.001496802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03770575,"threshold_uncertainty_score":0.2735757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757641532720507,"score_gpt":0.3280057127091492,"score_spread":0.2904292973819442,"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."}}