{"id":"W2886316628","doi":"10.3390/w10081031","title":"A Stochastic Optimization Model for Agricultural Irrigation Water Allocation Based on the Field Water Cycle","year":2018,"lang":"en","type":"article","venue":"Water","topic":"Water resources management and optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Irrigation; Deficit irrigation; Water scarcity; Environmental science; Water resources; Agricultural engineering; Water resource management; Farm water; Evapotranspiration; Irrigation management; Water conservation; Irrigation district; Water use; Computer science; Engineering; Agronomy","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":[0.0009142499,0.001117352,0.001397807,0.0006038242,0.0005767085,0.001444876,0.001391728,0.001587921,0.002952126],"category_scores_gemma":[0.001438744,0.0008273571,0.001175717,0.00124418,0.0008945888,0.0009751786,0.000838199,0.001447177,0.0002386885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514182,"about_ca_system_score_gemma":0.002399278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02321767,"about_ca_topic_score_gemma":0.01364993,"domain_scores_codex":[0.9993718,0.0001960158,0.00002915204,0.0001561039,0.0001244248,0.0001224811],"domain_scores_gemma":[0.9993617,0.0003627164,0.000100931,0.00001713731,0.0001158663,0.00004163543],"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":[0.000006457773,0.000005176876,0.000103368,0.00001065613,0.000005698498,0.00001870245,0.000006388354,0.9957727,0.0001356969,0.00314762,0.00009961581,0.0006880787],"study_design_scores_gemma":[0.000003978774,0.000006348006,0.00005028076,0.000001407784,0.000003137711,0.000003408582,0.000002640074,0.9988526,0.00003038033,0.0009214378,0.0001217087,0.000002712007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05310425,0.0005122692,0.9334662,0.0005474551,0.00008839151,0.0001239643,0.0005892759,0.0002062392,0.01136185],"genre_scores_gemma":[0.938779,0.0007981781,0.04634183,0.0001239543,0.00005943432,0.0005611067,0.0004449338,0.00007049781,0.01282104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02321767,"threshold_uncertainty_score":0.04616505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008947040787611688,"score_gpt":0.1883086417567757,"score_spread":0.179361600969164,"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."}}