{"id":"W2587375419","doi":"10.1002/ejlt.201600358","title":"Food and fuel from Canadian oilseed grains: Biorefinery production may optimize both resources","year":2017,"lang":"en","type":"article","venue":"European Journal of Lipid Science and Technology","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Genome Prairie; University of Saskatchewan","funders":"","keywords":"Biorefinery; Biomass (ecology); Raw material; Food processing; Biofuel; Environmental science; Nutrient; Ingredient; Agriculture; Biotechnology; Energy crop; Bioenergy; Pulp and paper industry; Agronomy; Food science; 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":[0.0002598168,0.0005249135,0.0002456897,0.000536542,0.0007959506,0.000868823,0.0003318698,0.0003451109,0.00255055],"category_scores_gemma":[0.000145794,0.0001080114,0.0003383597,0.0009583511,0.0001932902,0.000448689,0.0002857184,0.0004030604,0.0004798831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005383952,"about_ca_system_score_gemma":0.003849561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3725236,"about_ca_topic_score_gemma":0.6811017,"domain_scores_codex":[0.9998565,0.000006469026,0.000004358559,0.00002323413,0.00006375044,0.00004559481],"domain_scores_gemma":[0.9999369,0.000003135751,0.000006661138,0.000004475387,0.00003591518,0.00001283701],"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":[0.0003061779,0.00009988005,0.003355099,0.0002542415,0.00002426902,0.0001295281,0.0000836636,0.001866101,0.938759,0.00154637,0.001393512,0.05218217],"study_design_scores_gemma":[0.00007002171,0.0003790162,0.04814515,0.00006356183,0.000126007,0.0001302825,0.0003348882,0.005400643,0.8855914,0.000798438,0.05890803,0.00005250248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428914,0.004065513,0.01009483,0.001090669,0.00007305128,0.0001344907,0.001557572,0.0003537693,0.03973858],"genre_scores_gemma":[0.9573903,0.003143053,0.02038148,0.0001866619,0.000008715336,0.00005096049,0.001771529,0.00007863059,0.01698871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6274763,"threshold_uncertainty_score":0.7407106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008378994158283758,"score_gpt":0.2168523465760236,"score_spread":0.2084733524177399,"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."}}