{"id":"W2890484320","doi":"","title":"Towards sustainable water governance","year":2015,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Corporate governance; Watershed management; Credibility; Business; Environmental resource management; Social learning; Process (computing); Knowledge management; Public relations; Process management; Environmental planning; Political science; Economics; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.007862738,0.0007132683,0.0005545486,0.001121718,0.002957305,0.007716091,0.001845335,0.003970729,0.01110481],"category_scores_gemma":[0.006322142,0.0002422372,0.0005350431,0.001355961,0.01310773,0.005390168,0.007568901,0.004821066,0.002323454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01863018,"about_ca_system_score_gemma":0.04046869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1518156,"about_ca_topic_score_gemma":0.1745041,"domain_scores_codex":[0.9952459,0.001444502,0.0001183336,0.0006774642,0.001654749,0.0008591516],"domain_scores_gemma":[0.9971234,0.0004482561,0.0002294778,0.000488589,0.00107819,0.000631905],"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":[0.000005842973,0.00002294169,0.0008923809,0.000255358,0.00002136431,0.00008159483,0.002127899,0.002240623,0.0005621958,0.8811811,0.05499651,0.05761225],"study_design_scores_gemma":[0.000005903462,0.00001408809,0.0009823933,0.0004868013,0.000005255948,0.00004094451,0.001357922,0.0009822978,0.0002080798,0.3306295,0.6652712,0.00001576835],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01099731,0.02478171,0.1455985,0.3248666,0.002234653,0.0004637766,0.0005268138,0.0006168836,0.4899138],"genre_scores_gemma":[0.5470186,0.03279566,0.1255073,0.06043427,0.001365814,0.0009243147,0.001281482,0.0004122307,0.2302603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1518156,"threshold_uncertainty_score":0.3018638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09078846548632517,"score_gpt":0.3384310798722043,"score_spread":0.2476426143858791,"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."}}