{"id":"W2279339641","doi":"10.5539/jas.v8n3p112","title":"Effects of Deficit Irrigation on Yield and Quality of Onion Crop","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bulb; Irrigation; Crop; Deficit irrigation; Randomized block design; Yield (engineering); Mathematics; Agronomy; Field experiment; Growing season; Water-use efficiency; Drip irrigation; Crop yield; Environmental science; Horticulture; Irrigation management; Animal science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000833353,0.00006729388,0.0001516459,0.00002124549,0.00009096695,0.00003102979,0.0002069131,0.00002768826,0.00002337508],"category_scores_gemma":[0.0004665532,0.00001560101,0.00005846456,0.0003165821,0.0001561118,0.0005795587,0.00004775071,0.00004881365,0.000001882347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000266161,"about_ca_system_score_gemma":0.000008835176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008526926,"about_ca_topic_score_gemma":0.0000185796,"domain_scores_codex":[0.9988672,0.00004951549,0.0003634894,0.0001129061,0.0004912534,0.0001156218],"domain_scores_gemma":[0.9984435,0.0004156866,0.0007317283,0.0000256487,0.0003009148,0.00008245319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000282577,0.00004990384,0.002438535,0.00001489721,0.000004485792,3.478794e-7,0.00004703358,0.000004469345,0.9749779,0.002262587,0.00004934564,0.02012225],"study_design_scores_gemma":[0.000112577,0.0004803428,0.7442337,0.0001174527,0.000008336293,0.000003516031,0.0001052255,6.279324e-7,0.2544434,0.000309955,0.000140142,0.00004468947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966933,0.0000427508,0.00001195119,0.002593334,0.0001236151,0.00008357073,0.000002079818,0.000003114119,0.0004462506],"genre_scores_gemma":[0.9996577,0.00005816465,0.00007738959,0.00005140835,0.00005735358,5.616749e-7,2.443371e-7,1.826635e-7,0.00009701378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7417952,"threshold_uncertainty_score":0.06996535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963495331783618,"score_gpt":0.2558978631939796,"score_spread":0.2262629098761434,"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."}}