{"id":"W3011446999","doi":"10.1080/07011784.2020.1737237","title":"New modeling paradigms for assessing future irrigation storage requirements: a case study of the Western irrigation district in Alberta","year":2020,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Water resources management and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rule of thumb; Water storage; Operations research; Computer science; Irrigation; Investment (military); Simulation modeling; Risk analysis (engineering); Environmental economics; Business; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0005049098,0.0004976203,0.0002671283,0.0006340913,0.00107207,0.001715696,0.001252472,0.0008810636,0.001171945],"category_scores_gemma":[0.0009833617,0.0002270302,0.0003557669,0.00124951,0.0007643962,0.0004998906,0.0007022105,0.0006277057,0.00005717091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01022847,"about_ca_system_score_gemma":0.005143316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7877913,"about_ca_topic_score_gemma":0.8911995,"domain_scores_codex":[0.9997318,0.000104897,0.0000107242,0.00003102818,0.00006439013,0.00005719903],"domain_scores_gemma":[0.9997043,0.0001566858,0.00002132382,0.00001567863,0.00007104523,0.00003100553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006309347,0.00008879517,0.01531699,0.00004586551,0.0000203721,0.000515089,0.0003165432,0.9622939,0.001255212,0.007218339,0.0008474297,0.01201836],"study_design_scores_gemma":[0.00002280459,0.00005071748,0.008280803,0.00001376386,0.00002499741,0.00006016673,0.001630408,0.9840463,0.0008380992,0.00221384,0.002785174,0.00003289904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643365,0.0003134238,0.01632204,0.0008159161,0.00001592619,0.0001106296,0.0005711673,0.00008743006,0.01742687],"genre_scores_gemma":[0.9864108,0.0002368818,0.009963595,0.00002931611,0.000005187324,0.0000252344,0.000197305,0.00001187664,0.003119887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2122087,"threshold_uncertainty_score":0.4269168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693466769002602,"score_gpt":0.2196152348342805,"score_spread":0.1926805671442545,"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."}}