{"id":"W4200493122","doi":"10.32920/17264093.v1","title":"Examining the Evolving Environmental Protection Policy Convergence in the Ontario Municipal Drinking Water, Wastewater and Stormwater Sectors: Analysis of State/Non-State Governance and the Value of an Environmental Management System Standard for the Wastewater and Stormwater Sectors","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ministère de l’Environnement, de la Protection de la nature et des Parcs; Ministry of Agriculture, Food and Rural Affairs; Fisheries and Oceans Canada; Environment and Climate Change Canada; Mitacs; Ontario Ministry of Agriculture, Food and Rural Affairs; Ontario Water Consortium; Government of Ontario","keywords":"Stormwater; Corporate governance; Business; Environmental planning; Transparency (behavior); Local government; Government (linguistics); Accountability; Environmental resource management; Public administration; Political science; Economics; Environmental science; Finance","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":[0.004928042,0.0001126861,0.000366103,0.002858924,0.004111431,0.004759158,0.0008472161,0.0004964654,0.001237906],"category_scores_gemma":[0.01070144,0.0002474435,0.0002551672,0.006347935,0.006197561,0.002348839,0.003472842,0.00070881,0.00005940847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1011006,"about_ca_system_score_gemma":0.07888882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8782089,"about_ca_topic_score_gemma":0.941741,"domain_scores_codex":[0.9957261,0.0009710237,0.0002185988,0.0003430159,0.001698666,0.001042545],"domain_scores_gemma":[0.9919208,0.002528521,0.001698769,0.0003108054,0.002864908,0.000676216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001260971,0.00008108385,0.5061842,0.000334281,0.00005783881,0.0008531942,0.3621877,0.001856561,0.002824942,0.07531285,0.001288293,0.04889293],"study_design_scores_gemma":[0.00001183465,0.00005426057,0.6084285,0.0001399909,0.00003180225,0.00004812009,0.3668898,0.002318695,0.0006428573,0.004293134,0.01711761,0.00002351391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839032,0.0001616482,0.0004581567,0.001586733,0.000003579965,0.00006069761,0.00008335636,0.000004011528,0.01373855],"genre_scores_gemma":[0.9981342,0.0001918195,0.0004453807,0.00005295022,0.000001431212,0.00001942192,0.00006072174,0.000002761651,0.001091366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1217911,"threshold_uncertainty_score":0.7335395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229501028029126,"score_gpt":0.2273901669806727,"score_spread":0.2150951567003815,"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."}}