{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001987934,0.000308571,0.0003285567,0.0001813975,0.0001386672,0.0003457239,0.0002029633,0.0001742832,0.0006450702],"category_scores_gemma":[0.000337894,0.0001052667,0.0001931708,0.0002220818,0.0001384912,0.0003240124,0.0002504075,0.0003992405,0.00007335935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003986799,"about_ca_system_score_gemma":0.0001782441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001937126,"about_ca_topic_score_gemma":0.002031394,"domain_scores_codex":[0.999838,0.00002686299,0.00001770439,0.00004121154,0.00004666816,0.00002941663],"domain_scores_gemma":[0.9996819,0.00007062031,0.000111815,0.00002096722,0.00005520145,0.00005953124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008683798,0.0001253874,0.008855716,0.00009734699,0.00002665322,0.0001207721,0.0000665226,0.0003958633,0.9847966,0.00002291148,0.0000449099,0.004578906],"study_design_scores_gemma":[0.0000674691,0.008766912,0.3179244,0.0000249585,0.0001643763,0.0002602321,0.0003799429,0.00293035,0.6666477,0.0001558092,0.002637369,0.00004051068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991806,0.0001630961,0.000226731,0.00001086715,0.000004071719,0.000008776036,0.0001067195,0.000009551606,0.000289728],"genre_scores_gemma":[0.9987376,0.0001600477,0.000251354,0.00002417498,0.000002588285,0.00001219264,0.0003374561,0.000008433065,0.0004659509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001937126,"threshold_uncertainty_score":0.003851771,"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."}}