{"id":"W2056989238","doi":"10.1068/a37224","title":"Integrated Water Resource Management, Institutional Arrangements, and Land-Use Planning","year":2005,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Water resources management and optimization","field":"Engineering","cited_by":301,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Integrated water resources management; Credibility; Statutory law; Resource (disambiguation); Environmental resource management; Environmental planning; Business; Ecosystem approach; Boundary (topology); Water resources; Process management; Ecosystem; Computer science; Environmental science; Political science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005120327,0.0004906749,0.0006123459,0.002732029,0.002618942,0.008887948,0.001768328,0.001581962,0.005609949],"category_scores_gemma":[0.005268803,0.0006251959,0.0004711043,0.00548348,0.009981453,0.008264498,0.006538751,0.00198706,0.0005383721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007892082,"about_ca_system_score_gemma":0.01523915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01283835,"about_ca_topic_score_gemma":0.03043828,"domain_scores_codex":[0.9940866,0.002971773,0.0003602852,0.0005423215,0.001392532,0.0006464414],"domain_scores_gemma":[0.9982852,0.0005253117,0.000356135,0.0002186148,0.000308729,0.000305895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009569281,0.00005177744,0.001656165,0.0001247537,0.00002537065,0.00006463638,0.0007705677,0.02084626,0.0002538804,0.9188225,0.002224677,0.05514983],"study_design_scores_gemma":[0.00001483444,0.00007866819,0.002853154,0.0002482692,0.00003023684,0.00006868488,0.002918,0.01277813,0.0007021115,0.8928825,0.08737928,0.00004609698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04085198,0.006010736,0.5072454,0.02046855,0.0002681795,0.001148801,0.000306076,0.0003418598,0.4233584],"genre_scores_gemma":[0.7675688,0.006265385,0.1976867,0.0009917303,0.0001624907,0.001047808,0.0003055646,0.0000985353,0.02587288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01283835,"threshold_uncertainty_score":0.05726135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009832337892151944,"score_gpt":0.1645623818711772,"score_spread":0.1547300439790252,"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."}}