{"id":"W203423407","doi":"10.5751/es-02597-130222","title":"Managing Waters of the Para&amp;#237;ba do Sul River Basin, Brazil: a Case Study in Institutional Change and Social Learning","year":2008,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Drainage basin; Geography; Structural basin; Ecology; Geology; Cartography; Geomorphology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00127499,0.0003323276,0.0002503633,0.0005504878,0.005821958,0.001505416,0.001244133,0.001491748,0.001206697],"category_scores_gemma":[0.003394668,0.0002119177,0.0002198106,0.001069426,0.003155929,0.001644154,0.002387656,0.000864215,0.00009781114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005583027,"about_ca_system_score_gemma":0.006838108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1579971,"about_ca_topic_score_gemma":0.4422706,"domain_scores_codex":[0.9991955,0.0004134974,0.00002486978,0.0000478564,0.00010489,0.0002133604],"domain_scores_gemma":[0.998792,0.0004818209,0.0002236945,0.00007455165,0.0001333559,0.0002946425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000261895,0.0009254846,0.2384048,0.001005427,0.0001727265,0.06647473,0.3628843,0.008086193,0.01480286,0.08676858,0.01125885,0.2089541],"study_design_scores_gemma":[0.0001031534,0.0008714274,0.214038,0.0008661471,0.0001564137,0.009045141,0.5862527,0.009952133,0.005815667,0.01754147,0.1552023,0.0001553682],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727543,0.0007571169,0.001538176,0.006231881,0.00001681207,0.0001957297,0.00006366338,0.00002541434,0.01841685],"genre_scores_gemma":[0.9966103,0.0004989409,0.001273164,0.0001668314,0.000003673623,0.00004960001,0.00001699557,0.000006099116,0.001374356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1579971,"threshold_uncertainty_score":0.314155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818659058971639,"score_gpt":0.2331275948970393,"score_spread":0.1949410043073229,"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."}}