{"id":"W2189233514","doi":"10.1007/978-3-642-22266-5_41","title":"Social Learning Through Local Water Governance Institutions","year":2011,"lang":"en","type":"book-chapter","venue":"Climate change management","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Corporate governance; Mandate; Social learning; Environmental planning; Legislation; Water Framework Directive; Watershed; Political science; Environmental resource management; Business; Geography; Sociology; Economics; Water quality","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002702029,0.0006057463,0.0004650822,0.00003452802,0.0007328968,0.00005987034,0.0005943819,0.0003540886,0.0203686],"category_scores_gemma":[0.000004217361,0.0005378353,0.0002689192,0.00006355984,0.000847345,0.0004615396,0.002097235,0.0005389383,0.008061482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392824,"about_ca_system_score_gemma":0.000005335303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002018998,"about_ca_topic_score_gemma":0.0002736445,"domain_scores_codex":[0.9969741,0.00003098289,0.0004343007,0.0009522724,0.0006345856,0.0009737212],"domain_scores_gemma":[0.9990752,0.00001222121,0.0002902227,0.0005036098,0.00002126588,0.00009749464],"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":[0.0001366345,0.0002166526,0.0001731866,0.00123014,0.000168742,0.000627774,0.02837542,0.0001300458,0.000007131024,0.8980067,0.01337807,0.05754952],"study_design_scores_gemma":[0.0003482024,0.0000787992,0.0006725109,0.0001739363,0.0001581738,0.000006368554,0.001359443,0.00002041346,0.00002408005,0.02200651,0.9743931,0.0007584638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006897085,0.000313809,0.0001907176,0.0008809253,0.000440039,0.0009605893,0.00008219048,0.0002031096,0.9962389],"genre_scores_gemma":[0.145233,0.01932224,0.0002162554,0.002493672,0.0009738085,0.0008029027,0.0004609435,0.0002814466,0.8302158],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.961015,"threshold_uncertainty_score":0.9997073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0934976877462845,"score_gpt":0.2679116979925578,"score_spread":0.1744140102462733,"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."}}