{"id":"W2090018954","doi":"10.4296/cwrj300173","title":"Incremental Water Market Development: The California Water Sector 1985-2004","year":2005,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Water resources management and optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water transfer; Water trading; Water development; Water sector; Business; Natural resource economics; Water use; Transfer (computing); Water resources; Water conservation; Water resource management; Water supply; Economics; Environmental science; Environmental engineering; Ecology","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":[0.0005930846,0.0002304268,0.0001637421,0.001281462,0.0006303237,0.001899393,0.0007401398,0.0004053077,0.004502509],"category_scores_gemma":[0.002354026,0.0001954258,0.0001929944,0.002373633,0.0004654717,0.001064722,0.0004702593,0.0006913877,0.0002138317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01008411,"about_ca_system_score_gemma":0.006060713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3483602,"about_ca_topic_score_gemma":0.4744189,"domain_scores_codex":[0.9993941,0.00002540157,0.00001919482,0.00008091377,0.0003527057,0.0001276315],"domain_scores_gemma":[0.9983842,0.0001860368,0.0004007444,0.00005480155,0.0007716882,0.0002025577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007975211,0.0005518423,0.3043305,0.0008727333,0.0001524397,0.0009811324,0.001813805,0.03369752,0.001539449,0.09855872,0.1658188,0.3908855],"study_design_scores_gemma":[0.0001009142,0.0002464095,0.6324768,0.0001410335,0.00009132774,0.0002392047,0.001855192,0.01244372,0.00177758,0.004282793,0.3462907,0.00005430085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7805857,0.01126826,0.002198708,0.005272813,0.000199378,0.0002130912,0.01295963,0.0002624766,0.1870399],"genre_scores_gemma":[0.9680053,0.004555319,0.001555531,0.0002088661,0.00008648507,0.0000361302,0.005963513,0.00001401538,0.01957499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3483602,"threshold_uncertainty_score":0.692665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008165453806790526,"score_gpt":0.1590112683207874,"score_spread":0.1508458145139969,"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."}}