{"id":"W2036336205","doi":"10.4296/cwrj3304333","title":"Implementing Integrated Water Resources Management: The Importance of Cross-Scale Considerations and Local Conditions in Ontario and Nova Scotia","year":2008,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Integrated water resources management; Nova scotia; Environmental resource management; Watershed management; Politics; Water resources; Scale (ratio); Environmental planning; Watershed; Business; Government (linguistics); Political science; Geography; Environmental science; Computer science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007250448,0.0003144704,0.0003572586,0.0003576195,0.001342735,0.0002730572,0.0003378514,0.00011881,0.000665391],"category_scores_gemma":[0.00002469694,0.0002035556,0.00007314685,0.0002067255,0.002337229,0.0004351392,0.0001993842,0.0005254337,0.00001020178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007898668,"about_ca_system_score_gemma":0.000008095853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7585669,"about_ca_topic_score_gemma":0.9951428,"domain_scores_codex":[0.9972736,0.0001587146,0.0007341487,0.0004540151,0.000168759,0.001210726],"domain_scores_gemma":[0.9987449,0.00005942036,0.0001553629,0.0003033825,0.00007308792,0.0006638222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001816899,0.0000125995,0.769164,0.0000225458,0.00004086563,0.0005283165,0.2287785,0.001001995,0.000120973,0.000004728481,0.00002229297,0.0002850025],"study_design_scores_gemma":[0.001093494,0.0001688418,0.6085155,0.0002448595,0.00008022796,0.005022421,0.004767254,0.0008440143,0.001487151,0.008585776,0.3685277,0.0006627475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99633,0.0002112621,0.00001601024,0.0006813986,0.00007037116,0.0002876418,0.00004967367,0.00001632285,0.002337275],"genre_scores_gemma":[0.9984621,0.000169861,0.0002005811,0.0003557429,0.00003982691,0.00001114393,0.00004289713,0.00003417553,0.0006836511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3685054,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379967538174953,"score_gpt":0.2100315660835331,"score_spread":0.1962318907017836,"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."}}