{"id":"W3047708711","doi":"10.1590/1809-4422asoc20180263r2vu2020l4ao","title":"Multi-level water governance without integrated water resources management (IWRM): cooperation in the Columbia River Basin","year":2020,"lang":"en","type":"article","venue":"Ambiente & sociedade","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Oregon State University","keywords":"Integrated water resources management; Impossibility; Corporate governance; International waters; Work (physics); Drainage basin; Structural basin; Water resources; Political science; Water resource management; Environmental resource management; Environmental planning; Geography; Business; Environmental science; Geology; Engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113073,0.0002451162,0.000264135,0.00003619802,0.0008954707,0.0007860924,0.0009397815,0.0001105146,0.0004255482],"category_scores_gemma":[0.00002282573,0.0001674185,0.0001337549,0.0003796968,0.0006005568,0.0003365616,0.0001934618,0.0003679263,0.0004201849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002499226,"about_ca_system_score_gemma":0.00002079668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01522057,"about_ca_topic_score_gemma":0.01718635,"domain_scores_codex":[0.9966695,0.0006562038,0.0004082294,0.0005892842,0.0008627704,0.0008140242],"domain_scores_gemma":[0.9994004,0.00002623026,0.00006459731,0.0003120942,0.00006773511,0.0001289162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001439827,0.0004771076,0.03679127,0.0001110105,0.0001910045,0.0001248508,0.9291822,0.0003945687,0.002660044,0.00128699,0.02223786,0.006399128],"study_design_scores_gemma":[0.001560594,0.0000644981,0.04841641,0.00004997374,0.00005727593,6.841566e-7,0.02131221,0.0005114195,0.0006522968,0.00005855844,0.926965,0.0003510788],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590493,0.00004685322,0.001118134,0.03212675,0.0002039405,0.001519837,0.00003581644,0.0001709283,0.005728389],"genre_scores_gemma":[0.9806178,0.00007787786,0.00109247,0.007987141,0.0001311616,0.0001188802,0.00006149525,0.00003523779,0.009877925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.90787,"threshold_uncertainty_score":0.9913372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03688203554181935,"score_gpt":0.2620781853179555,"score_spread":0.2251961497761361,"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."}}