{"id":"W2804655051","doi":"10.1101/328716","title":"Minimizing marine ingredients in diets of farmed Atlantic salmon ( <i>Salmo salar</i> ): Effects on growth performance and muscle lipid and fatty acid composition","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fish meal; Fish oil; Food science; Salmo; Meal; Composition (language); Biology; Fatty acid; Aquaculture; Biochemistry; Chemistry; Animal science; Fish <Actinopterygii>; Fishery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002013454,0.0004072125,0.0003048722,0.0002915295,0.0002378667,0.0003831658,0.0002713861,0.0003073672,0.0008093636],"category_scores_gemma":[0.0002987931,0.0001631965,0.0002675173,0.0002122109,0.0002418885,0.000214353,0.0003221228,0.0005222699,0.0001443102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005973263,"about_ca_system_score_gemma":0.0005423757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00392205,"about_ca_topic_score_gemma":0.01111023,"domain_scores_codex":[0.9998155,0.00003175194,0.00002664282,0.00004304764,0.00004867147,0.00003432381],"domain_scores_gemma":[0.9996244,0.00004343749,0.0001254661,0.00001507597,0.00007167959,0.000119845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004029844,0.0003204709,0.001733511,0.0001967428,0.00005168676,0.00003876635,0.0000427319,0.0000991934,0.9904794,0.00002549349,0.00004255385,0.002939465],"study_design_scores_gemma":[0.0001585266,0.01598386,0.05533758,0.00008745526,0.0002789655,0.0001141046,0.0003058675,0.0008069624,0.9241021,0.00004945106,0.002743914,0.00003118819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992604,0.0002756495,0.0001530273,0.00002826149,0.0000097883,0.00001157418,0.00008802845,0.000006649633,0.0001666861],"genre_scores_gemma":[0.9962735,0.0003850805,0.001620629,0.0001038831,0.000005209416,0.00003235925,0.0003575198,0.00001334033,0.001208489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00392205,"threshold_uncertainty_score":0.007798433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009495325487294001,"score_gpt":0.1917858625192911,"score_spread":0.1822905370319971,"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."}}