{"id":"W2787442825","doi":"","title":"Rapeseed to canola: Rags to riches","year":2006,"lang":"nl","type":"book-chapter","venue":"eCommons (Cornell University)","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canola; Rapeseed; Business; Food science; Biology","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":[0.0002412783,0.0007361724,0.0002365335,0.001023688,0.001256653,0.002233971,0.0006306015,0.000903087,0.0289295],"category_scores_gemma":[0.0004858067,0.0002357752,0.0003622524,0.0008105097,0.001140247,0.003089969,0.001587163,0.00215946,0.01059519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599681,"about_ca_system_score_gemma":0.0007600655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007058116,"about_ca_topic_score_gemma":0.02310876,"domain_scores_codex":[0.9998627,0.00003082501,0.00000422021,0.00003215311,0.00004707358,0.00002313646],"domain_scores_gemma":[0.9998958,0.00004391126,0.0000043574,0.00001338786,0.00002168692,0.00002082423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005557491,0.00004407886,0.0001263934,0.0005129171,0.00001053072,0.0003661361,0.00335576,0.0002696325,0.002073641,0.2727812,0.4479167,0.2724873],"study_design_scores_gemma":[0.000001004185,0.000003915026,0.00003039768,0.0000595299,0.000001198083,0.0000531635,0.0001243425,0.00001556809,0.0001101817,0.003946803,0.995652,0.000001825194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002122421,0.1556218,0.002840327,0.0184144,0.005027946,0.00003854431,0.0001111661,0.0005037199,0.8153198],"genre_scores_gemma":[0.009817002,0.05202347,0.002132401,0.00564466,0.0007164177,0.00002834787,0.00009351208,0.0002676249,0.9292766],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0289295,"threshold_uncertainty_score":0.09677881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497230002444646,"score_gpt":0.1871102548418446,"score_spread":0.1721379548173981,"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."}}