{"id":"W2185411313","doi":"10.21273/hortsci.45.11.1734","title":"Use of a Nitrogen Budget to Predict Nitrogen Losses in Processing Butternut Squash with Different Nitrogen Fertilization Strategies","year":2010,"lang":"en","type":"article","venue":"HortScience","topic":"Plant and Fungal Interactions Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ministry of Agriculture, Food and Rural Affairs","funders":"","keywords":"Squash; Nitrogen; Cucurbita moschata; Fertilizer; Ammonium nitrate; Field experiment; Agronomy; Mathematics; Nitrogen balance; Nitrogen fertilizer; Environmental science; Ammonium; Yield (engineering); Crop; Growing season; Chemistry; Horticulture; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003030878,0.0006400708,0.0002437647,0.0006138983,0.0003249937,0.0005061388,0.000408712,0.000282881,0.0004604314],"category_scores_gemma":[0.0004897226,0.0002883303,0.0002544301,0.0003494033,0.0001547234,0.0004442844,0.0001805397,0.0001462042,0.0001511866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003480018,"about_ca_system_score_gemma":0.001144601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3176605,"about_ca_topic_score_gemma":0.4651798,"domain_scores_codex":[0.9998972,0.000008418431,0.000007030656,0.00003766448,0.00003489965,0.00001474108],"domain_scores_gemma":[0.9997587,0.00004487651,0.00006601707,0.00001217013,0.00009304556,0.00002517536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001339216,0.0002260676,0.6356039,0.0001863508,0.0002006474,0.0001833769,0.0001715401,0.1478151,0.1856334,0.0001300047,0.0003512969,0.02815915],"study_design_scores_gemma":[0.00005583699,0.0005879664,0.6304057,0.0000167391,0.00008783168,0.00007954895,0.0001517468,0.3433839,0.02440134,0.0001261462,0.0006721831,0.00003097559],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971212,0.00006132045,0.001830632,0.00000951215,0.000001088344,0.00002613499,0.0003613112,0.00003521102,0.0005537366],"genre_scores_gemma":[0.9956409,0.00007550203,0.002763679,0.000008923618,6.259666e-7,0.00002271332,0.0008115003,0.00001422179,0.0006619326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3176605,"threshold_uncertainty_score":0.631623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044650386515844,"score_gpt":0.2858977517290149,"score_spread":0.2654512478638564,"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."}}