{"id":"W2302396785","doi":"10.1515/jwld-2015-0016","title":"CropSyst model for wheat under deficit irrigation using sprinkler and drip irrigation in sandy soil","year":2015,"lang":"en","type":"article","venue":"Journal of Water and Land Development","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Irrigation; Deficit irrigation; Environmental science; Drip irrigation; Evapotranspiration; Agronomy; Cropping system; Center pivot irrigation; Yield (engineering); Water-use efficiency; Field experiment; Surface irrigation; Soil water; Agricultural engineering; Irrigation management; Crop; Soil science; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001669136,0.0005191104,0.0004253117,0.0002008737,0.0002625305,0.0004467836,0.0005422093,0.0006691482,0.001586871],"category_scores_gemma":[0.0005161448,0.0002366003,0.00048821,0.0002195142,0.0002265948,0.0002804601,0.0002910213,0.0003948191,0.0001453324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006087816,"about_ca_system_score_gemma":0.0005897161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02960653,"about_ca_topic_score_gemma":0.01618393,"domain_scores_codex":[0.999923,0.00002075294,0.000005668536,0.00001907236,0.00001636848,0.00001507629],"domain_scores_gemma":[0.9997357,0.0001304178,0.00004157823,0.00001891541,0.00005748092,0.00001592897],"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":[0.0000385452,0.00001420144,0.001782192,0.00001905712,0.000008702815,0.00003779061,0.00001801179,0.9953313,0.001526567,0.0001773977,0.000111983,0.0009341795],"study_design_scores_gemma":[0.00000781264,0.00001940845,0.0005038297,0.000001862142,0.000003272996,0.000004718993,0.000007979642,0.9986429,0.0005877552,0.00007482342,0.0001429061,0.000002751698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646333,0.0001047236,0.02809399,0.000109176,0.00002373137,0.00006211495,0.001003294,0.0007219324,0.005247709],"genre_scores_gemma":[0.9963406,0.0000389403,0.002285561,0.00001002996,0.000001840795,0.00004039246,0.000287821,0.00002087063,0.0009740081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02960653,"threshold_uncertainty_score":0.05886841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06863025353551855,"score_gpt":0.2572013435077513,"score_spread":0.1885710899722328,"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."}}