{"id":"W950871101","doi":"10.1007/s11625-015-0324-6","title":"Sustainability assessment of water governance alternatives: the case of Guanacaste Costa Rica","year":2015,"lang":"en","type":"article","venue":"Sustainability Science","topic":"Water resources management and optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Belmont Forum; National Science Foundation","keywords":"Corporate governance; Sustainability; Water scarcity; Environmental planning; Livelihood; Sustainable development; Sustainable tourism; Natural resource economics; Stakeholder; Business; Environmental resource management; Economics; Water resources; Political science; Geography; Agriculture; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001870185,0.0003921206,0.0004269418,0.0009236522,0.001184996,0.002496119,0.0009205841,0.001296664,0.001454141],"category_scores_gemma":[0.003559883,0.0001598671,0.0005358738,0.001187301,0.001493203,0.0007516529,0.001255287,0.0006453244,0.00006114742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006941156,"about_ca_system_score_gemma":0.003885224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2695648,"about_ca_topic_score_gemma":0.452748,"domain_scores_codex":[0.9990558,0.0005482087,0.00002291007,0.00005253308,0.0001188464,0.0002017007],"domain_scores_gemma":[0.9991884,0.0003823231,0.00007124849,0.00006248241,0.0002039779,0.00009171479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001004446,0.0009243261,0.148159,0.0004802805,0.0005521425,0.007022074,0.003090124,0.6535377,0.005755652,0.1117466,0.005181808,0.06254584],"study_design_scores_gemma":[0.0004640993,0.0007239653,0.1850012,0.0003060609,0.000559277,0.0006494136,0.02606494,0.723326,0.003134445,0.03531775,0.02433733,0.0001154883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850301,0.0002427396,0.0006601398,0.0007543215,0.00000596369,0.00007355965,0.0001109205,0.00001031804,0.01311196],"genre_scores_gemma":[0.9978876,0.0001569467,0.0007418771,0.00004353747,0.000002442336,0.00002295397,0.00003917163,0.000003496517,0.001101952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2695648,"threshold_uncertainty_score":0.5359915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094205665466155,"score_gpt":0.2752985853433451,"score_spread":0.2643565286886835,"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."}}