{"id":"W2725355780","doi":"10.3390/w9070497","title":"Source Water Protection Planning and Management in Metropolitan Canada: A Preliminary Assessment","year":2017,"lang":"en","type":"article","venue":"Water","topic":"Community Health and Development","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Metropolitan area; Environmental planning; Business; Water resources; Environmental resource management; Water quality; Land-use planning; Regional planning; Urban planning; Water resource management; Land use; Geography; Environmental protection; Environmental science; Engineering; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006505901,0.0001094245,0.0001512289,0.00009249162,0.001851287,0.00002536622,0.0001558777,0.00006779699,0.0001118626],"category_scores_gemma":[0.00001110753,0.0000675765,0.0000100419,0.00001322271,0.00002479969,0.00009945632,0.0005445436,0.0004530108,0.00002718337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009737839,"about_ca_system_score_gemma":0.0001528258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5466284,"about_ca_topic_score_gemma":0.3263938,"domain_scores_codex":[0.9985729,0.0002064049,0.0002901896,0.0001712672,0.0001685489,0.0005906625],"domain_scores_gemma":[0.9993724,0.00002419722,0.00005301595,0.0003991281,0.00002696329,0.0001243269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001101499,0.0002680247,0.871114,0.005429009,0.0001794571,0.000327166,0.05509771,0.00005779953,0.0008039078,0.001521136,0.02204933,0.04205102],"study_design_scores_gemma":[0.001355174,0.00008476296,0.7769166,0.0003185623,0.00001073907,0.000003178755,0.008131331,0.0002887694,0.0003542438,0.0005219357,0.2118192,0.0001954713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656513,0.00003227395,0.000202575,0.012192,0.0003843177,0.001382894,0.000001480351,0.00002821069,0.02012493],"genre_scores_gemma":[0.9921892,0.00001274632,0.0005005104,0.001045805,0.00005250383,0.0004530208,0.00001438395,0.00001354274,0.005718331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2202345,"threshold_uncertainty_score":0.9994482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08139562669695917,"score_gpt":0.4130767392916614,"score_spread":0.3316811125947022,"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."}}