{"id":"W148119781","doi":"","title":"Unearthing Montreal's Municipal Water System: Amalgamating and Harmonizing Urban Water Services","year":2002,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Environmental science; Hydrology (agriculture); Geography; Engineering; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00249515,0.0003394045,0.0001922972,0.001587243,0.007928724,0.009088678,0.001615581,0.001462887,0.005558335],"category_scores_gemma":[0.004183066,0.0002875265,0.0002258735,0.003841049,0.006086746,0.003397069,0.002863424,0.001795468,0.0004554155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05830038,"about_ca_system_score_gemma":0.09573602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9416055,"about_ca_topic_score_gemma":0.9767876,"domain_scores_codex":[0.9977998,0.0004328894,0.00005865359,0.0001469004,0.0008591474,0.000702606],"domain_scores_gemma":[0.998349,0.0001985438,0.0001494691,0.0001371833,0.0006322142,0.0005336404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003909547,0.00005986501,0.009525522,0.0003754777,0.00003555775,0.0007296668,0.02738834,0.003660819,0.003722607,0.3309731,0.263677,0.3598129],"study_design_scores_gemma":[0.00001150524,0.00002890646,0.01655454,0.00008538848,0.000009399539,0.00005305508,0.00611645,0.0005184403,0.0004964171,0.006018945,0.9700593,0.00004760401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.2475651,0.0372847,0.02181509,0.3559327,0.002241589,0.0006740702,0.001838399,0.00141272,0.3312356],"genre_scores_gemma":[0.8174344,0.01276242,0.01673179,0.01581373,0.0005894148,0.0001891996,0.0008108777,0.0002356968,0.1354324],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05839449,"threshold_uncertainty_score":0.4230008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302811264552784,"score_gpt":0.1494210048087795,"score_spread":0.1363928921632517,"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."}}