{"id":"W2090769945","doi":"10.4141/p03-099","title":"Effects of nitrogen fertilization on fruit yield and quality of processing tomatoes","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Lycopersicon; Yield (engineering); Human fertilization; Fertilizer; Agronomy; Irrigation; Nitrogen fertilizer; Nitrogen; Mathematics; Horticulture; Biology; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0002165034,0.0003607415,0.0003212463,0.0001978595,0.0002776228,0.0004185327,0.0003050722,0.0003140024,0.0007874141],"category_scores_gemma":[0.0005783284,0.0002386398,0.0001972364,0.000177755,0.0002645487,0.0002938888,0.0002329479,0.0003498121,0.0001285969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001993158,"about_ca_system_score_gemma":0.0005633574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05809976,"about_ca_topic_score_gemma":0.1387614,"domain_scores_codex":[0.9998282,0.00002590431,0.00001325775,0.00004940265,0.00005216859,0.00003099944],"domain_scores_gemma":[0.99936,0.0001449837,0.0001432157,0.00003043954,0.0001375933,0.0001837224],"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":[0.001339979,0.00008288216,0.02074644,0.00007388717,0.00004119801,0.0001870939,0.0001070462,0.0002632109,0.9748831,0.00001675669,0.00006318579,0.002195282],"study_design_scores_gemma":[0.00007890671,0.002120476,0.8489799,0.000009204578,0.00006585455,0.0001852607,0.0002543899,0.001295011,0.1458464,0.00004325619,0.001095007,0.00002629309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993253,0.0001139436,0.00006890699,0.00001798563,0.000001857383,0.000007288916,0.0001004456,0.000006418027,0.0003577058],"genre_scores_gemma":[0.998005,0.00009185918,0.000227576,0.00003638317,0.000001533341,0.00001170751,0.0003461278,0.00001018818,0.001269635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05809976,"threshold_uncertainty_score":0.1155232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256851607907675,"score_gpt":0.2369032374708808,"score_spread":0.204334721391804,"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."}}