{"id":"W1497430769","doi":"10.1596/1813-9450-3525","title":"Institutional and Policy Analysis of River Basin Management: The Fraser River Basin, Canada","year":2005,"lang":"en","type":"book","venue":"World Bank, Washington, DC eBooks","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stakeholder; Structural basin; Drainage basin; Environmental planning; Geography; Environmental resource management; Political science; Business; Public relations; Environmental science","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":[0.001497892,0.0002900961,0.0002785234,0.00270145,0.01305378,0.008041841,0.001890634,0.001618873,0.00582209],"category_scores_gemma":[0.004652645,0.0002618995,0.0003514063,0.005122473,0.005352874,0.001675852,0.00225285,0.001774032,0.0002092996],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2133196,"about_ca_system_score_gemma":0.3038306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969536,"about_ca_topic_score_gemma":0.9987748,"domain_scores_codex":[0.9976513,0.0003619904,0.00006077396,0.0001760971,0.0008076725,0.0009422004],"domain_scores_gemma":[0.997462,0.0005562027,0.0001618912,0.00008217419,0.001225483,0.0005122948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002673357,0.00008278835,0.02620934,0.0003205229,0.00005554279,0.0007077047,0.01189069,0.01354728,0.0004114822,0.8028655,0.09285295,0.05102947],"study_design_scores_gemma":[0.00001645458,0.00002959529,0.08636186,0.0006588433,0.00006882988,0.0001891193,0.05135406,0.01279422,0.0006857243,0.03929447,0.8084198,0.0001270939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2286206,0.01672231,0.008634903,0.1041836,0.0005250195,0.0008505224,0.005597561,0.0002307471,0.6346347],"genre_scores_gemma":[0.8356944,0.01045424,0.009196855,0.004689259,0.00006498377,0.0002542076,0.001092496,0.00007591462,0.1384777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2133196,"threshold_uncertainty_score":0.9124377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007074883948117,"score_gpt":0.2345611473430765,"score_spread":0.2244903985035954,"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."}}