{"id":"W4402994846","doi":"10.17503/agrivita.v46i3.4555","title":"Effect of Regulated Deficit Irrigation on Cucumber Growth and Fruit Yield in Greenhouse Conditions","year":2024,"lang":"en","type":"article","venue":"Agrivita Journal of agricultural science (AJAS)","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"Sultan Qaboos University","keywords":"Greenhouse; Yield (engineering); Deficit irrigation; Irrigation; Agronomy; Environmental science; Mathematics; Biology; Irrigation management; Physics","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":[0.0001285716,0.0003770717,0.0003373121,0.0001265563,0.0002065827,0.0002945123,0.00025362,0.0001880906,0.0007019319],"category_scores_gemma":[0.0002507594,0.0001283372,0.0001703325,0.0001241807,0.0002598949,0.0003245058,0.0002745329,0.0006044253,0.00006255783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000571448,"about_ca_system_score_gemma":0.0003100655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005195417,"about_ca_topic_score_gemma":0.007035584,"domain_scores_codex":[0.999851,0.00002413361,0.00001606991,0.0000466021,0.00003383392,0.00002830836],"domain_scores_gemma":[0.9997721,0.00005032647,0.00006272633,0.00002182669,0.00003630142,0.00005668251],"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":[0.0006205319,0.0001098083,0.001372114,0.00008877086,0.0000121673,0.0000517703,0.00006185638,0.0002522596,0.9955378,0.00002928084,0.00006524313,0.001798296],"study_design_scores_gemma":[0.00009851393,0.006299774,0.08706299,0.00002782704,0.0001160523,0.00009943546,0.0003524839,0.006241662,0.8964863,0.0001519462,0.002994191,0.00006880498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998679,0.000279746,0.0003657946,0.00004184902,0.00001660555,0.0000186387,0.0001996387,0.00003046484,0.0003683592],"genre_scores_gemma":[0.9984665,0.0001515675,0.000530127,0.00004899748,0.000004926331,0.00003147085,0.0002344154,0.00001360656,0.0005184821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005195417,"threshold_uncertainty_score":0.01033032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008546061685753786,"score_gpt":0.2289122811026383,"score_spread":0.2203662194168845,"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."}}