{"id":"W2389748370","doi":"","title":"Application of Foreign Genes in Rapeseed Improvement","year":2007,"lang":"en","type":"article","venue":"Seed","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":"Rapeseed; Gene; Biology; Computational biology; Biotechnology; Genetics; Agronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002284156,0.0005531813,0.0004185662,0.0004038188,0.0002266318,0.0003352686,0.0003174982,0.0005446977,0.001183925],"category_scores_gemma":[0.00020338,0.0002461683,0.0004256512,0.0003376385,0.0003154243,0.0003079103,0.0003472589,0.0007805352,0.0002725747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000479961,"about_ca_system_score_gemma":0.0004314616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008978751,"about_ca_topic_score_gemma":0.001494506,"domain_scores_codex":[0.9998648,0.00002819989,0.00001288551,0.00003986673,0.00003511626,0.00001903653],"domain_scores_gemma":[0.999868,0.00004296164,0.000025226,0.0000201953,0.00001482883,0.00002879108],"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":[0.0000392361,0.00001139504,0.00007577982,0.0000287987,0.000003424168,0.00003981094,0.00001148083,0.00006301725,0.9982906,0.0001489774,0.000006687733,0.001280743],"study_design_scores_gemma":[0.00001961388,0.0001761373,0.001395903,0.000007596687,0.00004592128,0.0002628805,0.00004123079,0.0007303755,0.9941215,0.0001485567,0.003044292,0.000006021683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667172,0.003500586,0.02472545,0.0004480776,0.00009422001,0.00008225762,0.0002559061,0.0003190283,0.003857207],"genre_scores_gemma":[0.9752435,0.002528221,0.01445263,0.0001112156,0.00002131258,0.00004458054,0.0004006165,0.00008323485,0.007114625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001183925,"threshold_uncertainty_score":0.003960609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004079966195456896,"score_gpt":0.23471244334181,"score_spread":0.2306324771463531,"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."}}