{"id":"W2042734194","doi":"10.1016/s0301-4797(03)00070-7","title":"Health and environmental policy issues in Canada: the role of watershed management in sustaining clean drinking water quality at surface sources","year":2003,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Natural Sciences and Engineering Research Council","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Water quality; Context (archaeology); Business; Environmental planning; Sustainability; Environmental resource management; Watershed; Total maximum daily load; Government (linguistics); Environmental science; Natural resource economics; Environmental protection; Ecology; Geography","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":[0.001674829,0.0002078418,0.0003430801,0.0001045569,0.0001192073,0.00002075186,0.0002764362,0.00003017601,0.0003519866],"category_scores_gemma":[0.000006147824,0.0001439848,0.00006097375,0.00009771044,0.0001774103,0.0001938151,0.0005093061,0.0001769883,0.000008550987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003390874,"about_ca_system_score_gemma":0.00001452862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09439889,"about_ca_topic_score_gemma":0.09347589,"domain_scores_codex":[0.9971633,0.0004963088,0.0009035821,0.0002708366,0.0007065211,0.0004594552],"domain_scores_gemma":[0.9992637,0.00003657174,0.0003295057,0.0002260781,0.000001058341,0.0001430566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001158953,0.0002847935,0.956265,0.00005806746,0.00007188226,0.00006299203,0.007009085,0.004018844,0.002136244,0.0004845838,0.00007925342,0.02941337],"study_design_scores_gemma":[0.001522881,0.000123836,0.9025654,0.00004327677,0.00001711099,0.00001389527,0.07174495,0.0001251484,0.007282151,0.0008082652,0.01549931,0.0002537976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967393,0.0003794222,0.00001125319,0.001190946,0.00004433472,0.0003527848,0.000004557127,0.0000022969,0.0012751],"genre_scores_gemma":[0.9979106,0.0006955699,0.0002739588,0.0004609461,0.00001041886,0.000003923347,0.000006171616,0.00001474907,0.0006236761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06473586,"threshold_uncertainty_score":0.9230658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008475865096101909,"score_gpt":0.2324596677597506,"score_spread":0.2239838026636487,"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."}}