{"id":"W2354690474","doi":"","title":"Improving Nutrient Use Efficiency and Yield of Canola in Eastern Canada","year":2014,"lang":"ko","type":"article","venue":"한국토양비료학회 학술발표회 초록집","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Canola; Yield (engineering); Nutrient; Environmental science; Agronomy; Agricultural engineering; Biology; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0004623104,0.0003426939,0.0003316287,0.0007524987,0.00299323,0.001246992,0.001041003,0.0002732239,0.001389268],"category_scores_gemma":[0.0007109749,0.000189908,0.0002025519,0.001587901,0.0007118634,0.0003671355,0.0004074847,0.0003940092,0.0001809146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03719886,"about_ca_system_score_gemma":0.01857677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900649,"about_ca_topic_score_gemma":0.9969783,"domain_scores_codex":[0.9996138,0.00003192861,0.00001061668,0.00008199536,0.0001188983,0.0001427972],"domain_scores_gemma":[0.9993157,0.00005924132,0.00005528605,0.00002206346,0.0003438679,0.0002038172],"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":[0.007719037,0.001222073,0.6248603,0.0003820494,0.0006581822,0.002149343,0.009210876,0.007142385,0.2416405,0.005336147,0.006327311,0.09335176],"study_design_scores_gemma":[0.00003921066,0.0001464904,0.9725136,0.00001804046,0.0001113173,0.0001379089,0.004725885,0.002332854,0.01133792,0.0002599123,0.008337767,0.00003915192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968563,0.0002830289,0.0001084053,0.0001379713,0.000004970117,0.0000125239,0.0002569307,0.00001774493,0.002322113],"genre_scores_gemma":[0.9930457,0.0002850864,0.0003667797,0.00006645574,0.000001642621,0.000006268028,0.0003502985,0.00001438569,0.005863388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03719886,"threshold_uncertainty_score":0.2698979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005611611151223549,"score_gpt":0.1953451329033546,"score_spread":0.189733521752131,"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."}}