{"id":"W2497075961","doi":"10.1080/02508060.2016.1210562","title":"Towards best water management policies: how current irrigation reservoir operation practices compare with theory in Alberta","year":2016,"lang":"en","type":"article","venue":"Water International","topic":"Water resources management and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Current (fluid); Water resource management; Irrigation; Environmental science; Irrigation management; Environmental planning; Environmental resource management; Business; Hydrology (agriculture); Geology; Geotechnical engineering; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001965209,0.0001620308,0.0001000411,0.0002462384,0.0000444533,0.0002161833,0.0002667895,0.00002829614,0.0002993744],"category_scores_gemma":[0.000007056244,0.00008134077,0.00002530059,0.0000494427,0.0000293174,0.0008520727,0.0001039904,0.00006980375,0.0001909632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001537303,"about_ca_system_score_gemma":0.00000245762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007781696,"about_ca_topic_score_gemma":0.000448486,"domain_scores_codex":[0.9990061,0.00004524042,0.0001905675,0.0002115756,0.0003047892,0.0002417053],"domain_scores_gemma":[0.9996873,0.0000164244,0.00004205831,0.0001631977,0.00005658491,0.00003448492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001151606,0.0008452164,0.052464,0.00088649,0.001502382,0.00008293882,0.02991236,0.7776532,0.0100724,0.05721282,0.009645049,0.05857157],"study_design_scores_gemma":[0.00646968,0.0001935231,0.0107552,0.001092613,0.0001577991,0.00001694222,0.001317274,0.1300305,0.1436276,0.008934147,0.6958683,0.001536489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8646124,0.00003881826,0.04412951,0.01865039,0.001240397,0.0008517858,0.00001882472,0.0002243316,0.07023352],"genre_scores_gemma":[0.9931565,0.00004855319,0.0004039477,0.00004675513,0.0001558291,0.00008762966,0.0002764447,0.0000278015,0.005796542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6862232,"threshold_uncertainty_score":0.331698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073873055068165,"score_gpt":0.2505490891269695,"score_spread":0.2298103585762879,"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."}}