{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001192689,0.0001288581,0.0001248198,0.0001434821,0.00007518075,0.0001331599,0.0002482245,0.00007392287,0.00001425817],"category_scores_gemma":[0.00009995035,0.00009898829,0.00003023846,0.0002927287,0.0001403033,0.00004679896,0.000100321,0.0001338101,0.000002364277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001148828,"about_ca_system_score_gemma":0.0001832421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001404304,"about_ca_topic_score_gemma":0.001840752,"domain_scores_codex":[0.998904,0.00003072697,0.0001873128,0.0003325151,0.0002679317,0.0002774376],"domain_scores_gemma":[0.9994143,0.00001739686,0.00006033032,0.0002294423,0.0001752615,0.0001033002],"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":[0.0001156098,0.00007188401,0.3402733,0.00001533986,0.00000622727,0.000003760653,0.00006038984,0.0001269351,0.658721,0.00001750105,0.000044246,0.000543825],"study_design_scores_gemma":[0.000177414,0.0003891229,0.03495654,0.00005710878,0.00001000641,0.000045722,0.0002028461,0.001636104,0.9613882,0.0001837648,0.0007648506,0.0001883306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969237,0.00005403172,0.002481248,0.00003708556,0.00004139763,0.0002436723,0.0000326068,0.00001051808,0.0001757495],"genre_scores_gemma":[0.9990675,0.00001939482,0.0006550269,0.00003792056,0.00004500632,0.00004478934,0.00005659876,0.00001079299,0.00006298818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3053167,"threshold_uncertainty_score":0.4036625,"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."}}