{"id":"W6920698397","doi":"10.60692/nssax-tfb84","title":"Improving Hydraulic Performance of Drip Irrigation Emitters Through CFD Analysis","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Drip irrigation; Pressure drop; Computational fluid dynamics; Discharge coefficient; Flow (mathematics); Channel (broadcasting); Pressure head; Turbulence; Soil gradation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003332566,0.0001133505,0.0001583997,0.00007707493,0.0001183285,0.0002720697,0.000137085,0.0000562104,0.00007043714],"category_scores_gemma":[0.000004394079,0.0000460161,0.0001211614,0.0008495964,0.00001804733,0.00177378,0.00004547006,0.00006016846,0.0002475021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004962077,"about_ca_system_score_gemma":0.000004786796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000116397,"about_ca_topic_score_gemma":0.00000110061,"domain_scores_codex":[0.9989032,0.00003853052,0.000491075,0.0001408461,0.0002744457,0.0001518837],"domain_scores_gemma":[0.9995335,0.00001242372,0.0002585968,0.00008126799,0.00008219546,0.00003195405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002742388,0.000024275,0.5912223,0.006341668,0.002756787,0.00001223187,0.2084537,0.01050875,0.002684499,0.009788084,0.0008316853,0.1671018],"study_design_scores_gemma":[0.0004239015,0.0003290234,0.6372126,0.0004066547,0.001066521,0.00001608305,0.02692764,0.3101017,0.009226261,0.00001587716,0.0135552,0.0007185647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917359,0.000006042866,0.001918411,0.000214443,0.000251268,0.0001972719,0.00003741375,0.0001579514,0.005481298],"genre_scores_gemma":[0.9993711,4.30515e-7,0.0001091519,0.0001369793,0.00006885302,0.00002384701,0.00009169025,7.227711e-7,0.0001972353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.299593,"threshold_uncertainty_score":0.3181221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255555959284441,"score_gpt":0.2003651739982636,"score_spread":0.1748095780698194,"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."}}