{"id":"W1978036577","doi":"10.2495/si140161","title":"Future agricultural water demand under climate change in Saskatchewan, Canada","year":2014,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Climate change; Environmental science; Evapotranspiration; Agriculture; Baseline (sea); Irrigation; Water resources; Water conservation; Water resource management; Farm water; Water use; Hydrology (agriculture); Geography; Engineering; Ecology","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":[0.0001776568,0.000110073,0.0001129086,0.00001373418,0.0002112075,0.000007581949,0.00007341125,0.00007409404,0.0005377036],"category_scores_gemma":[2.206638e-7,0.00005816429,0.00002467642,0.0000278547,0.0001462177,0.00005748466,0.0000113491,0.0001701088,0.00005877305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139333,"about_ca_system_score_gemma":0.000002476007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01598996,"about_ca_topic_score_gemma":0.6735871,"domain_scores_codex":[0.9992724,0.0001013665,0.0001196245,0.0001799282,0.00009397425,0.0002327219],"domain_scores_gemma":[0.9997809,0.00003860237,0.00002047588,0.0001148691,4.760154e-7,0.00004468144],"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":[0.0004464652,0.0006931625,0.09376824,0.00002540418,0.0001734088,0.00002932879,0.009213679,0.8451741,0.001621934,0.003804539,0.00009436515,0.04495538],"study_design_scores_gemma":[0.002103222,0.00009227623,0.9761328,0.000006482629,0.00006500477,0.00004006899,0.0009843101,0.0143329,0.0003445936,0.001170339,0.004437891,0.0002900992],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935249,0.00001565965,0.0009609986,0.004265516,0.0001515659,0.0002228624,0.00001154956,0.00000748685,0.0008394257],"genre_scores_gemma":[0.9984814,0.0001125014,0.00003647209,0.0008234639,0.00002008313,0.00007809376,0.000009931286,0.000005111024,0.0004329544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8823646,"threshold_uncertainty_score":0.9905626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002760269093842577,"score_gpt":0.1484267177524968,"score_spread":0.1456664486586542,"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."}}