{"id":"W4390831641","doi":"10.3390/agriculture14010116","title":"Opportunities for Camelina Meal as a Livestock Feed Ingredient","year":2024,"lang":"en","type":"article","venue":"Agriculture","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; South Dakota State University; U.S. Department of Agriculture","keywords":"Camelina; Camelina sativa; Canola; Meal; Food science; Soybean meal; Ingredient; Biofuel; Biology; Agronomy; Biotechnology; Crop; Raw material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008904315,0.000145076,0.000115764,0.00002373906,0.0000816147,0.00006064233,0.0001234528,0.0001661361,0.00001573924],"category_scores_gemma":[0.0000573358,0.00008855939,0.000124832,0.0000574804,0.00002948732,0.000004750767,0.00005599743,0.00005872709,0.00002138717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006929718,"about_ca_system_score_gemma":0.00007973137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000137269,"about_ca_topic_score_gemma":0.00002209526,"domain_scores_codex":[0.9992889,0.00001827228,0.0001268742,0.0002754971,0.00009835348,0.0001920634],"domain_scores_gemma":[0.9996598,0.00001376434,0.00002574533,0.0001329675,0.00008497297,0.00008269271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003705969,0.0000427095,0.00001363833,0.0001042934,0.0001160157,0.000009240642,0.0002823198,0.000001902358,0.7980274,0.001379234,0.1841835,0.01580266],"study_design_scores_gemma":[0.00008507141,0.00009586184,0.0002430142,0.0000270805,0.00004180042,0.00002031192,0.0005153131,0.000003887515,0.3122509,0.00004666464,0.6865401,0.0001300011],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800515,0.01024678,0.0002383154,0.002216164,0.001196412,0.0004702111,0.0001418791,0.00009626512,0.005342481],"genre_scores_gemma":[0.9729666,0.0004845321,0.0007763804,0.0005212586,0.002664183,0.0001098725,0.0003974959,0.00002025214,0.02205949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5023566,"threshold_uncertainty_score":0.3611347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016136471542747,"score_gpt":0.2420165775380898,"score_spread":0.2218552128226623,"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."}}