{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076385,0.0004946192,0.0002746225,0.0006340616,0.0003904168,0.001334519,0.0007683972,0.0009183878,0.01694606],"category_scores_gemma":[0.0004489008,0.0001179268,0.0007139498,0.0004719774,0.0004049806,0.001331994,0.001239935,0.0007498115,0.002845966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009455974,"about_ca_system_score_gemma":0.0007173127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009473315,"about_ca_topic_score_gemma":0.002400223,"domain_scores_codex":[0.9997002,0.0000755563,0.00001130641,0.0000713835,0.00007510306,0.0000665262],"domain_scores_gemma":[0.9997568,0.00002805394,0.00004166894,0.0000173227,0.00005517638,0.0001009491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0037081,0.0007968769,0.009414646,0.004419802,0.0002455374,0.002853568,0.0008789856,0.0003269416,0.3703452,0.03548869,0.05237361,0.5191481],"study_design_scores_gemma":[0.00008697587,0.001509413,0.0137636,0.0006473705,0.0001331524,0.001221895,0.000827542,0.0002200694,0.02889589,0.004926556,0.9477264,0.00004096384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3655293,0.2560866,0.02994214,0.0672968,0.004200038,0.0003754517,0.004472248,0.000996093,0.2711012],"genre_scores_gemma":[0.6896403,0.1278604,0.06381979,0.01884597,0.001959037,0.0003627989,0.006027846,0.0003034376,0.09118046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01694606,"threshold_uncertainty_score":0.05669028,"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."}}