{"id":"W4405510986","doi":"10.1186/s12864-024-11131-2","title":"Candidate genes associated with fatty acid compositions in north American Atlantic salmon (Salmo salar)","year":2024,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Huntsman Marine Science Centre","funders":"Genome Atlantic; Agriculture and Agri-Food Canada; New Brunswick Innovation Foundation; Atlantic Canada Opportunities Agency; Government of Canada; Genome Canada","keywords":"FADS2; Polyunsaturated fatty acid; Biology; Salmo; Fatty acid; Fatty acid desaturase; Biochemistry; Food science; Fatty acid metabolism; Linoleic acid; Eicosapentaenoic acid; Candidate gene; Gene; Genetics; Docosahexaenoic acid; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001914965,0.0002235747,0.0001755868,0.0004638817,0.0002716141,0.0001953224,0.0001278874,0.0002422462,0.001192449],"category_scores_gemma":[0.0003349294,0.0001269558,0.0003035869,0.0005357389,0.0002589769,0.00007572221,0.0002057151,0.0001846606,0.0001403978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899873,"about_ca_system_score_gemma":0.0002741364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008375529,"about_ca_topic_score_gemma":0.01614259,"domain_scores_codex":[0.9999034,0.00001332827,0.000006616357,0.00004006162,0.0000198583,0.00001660581],"domain_scores_gemma":[0.9997122,0.00008119218,0.0001144189,0.00001013035,0.00003919606,0.00004291089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007959873,0.00005920335,0.7684761,0.00006908165,0.0001849947,0.0007902999,0.0004165549,0.0004227795,0.2177319,0.000115071,0.0002464603,0.01069152],"study_design_scores_gemma":[0.000007529145,0.00003462112,0.9984458,0.000002912571,0.0000361743,0.0001005044,0.00009054956,0.0003039118,0.0007977455,0.00003606817,0.0001407422,0.000003438013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994231,0.00009607572,0.0001737019,0.00002618059,0.000002041967,0.000002166599,0.0001784754,0.000005136556,0.00009322205],"genre_scores_gemma":[0.997996,0.0001043014,0.0006817491,0.00004289727,0.000004684804,0.00001278867,0.0004771528,0.000004742943,0.0006757676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008375529,"threshold_uncertainty_score":0.01665354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165187338434259,"score_gpt":0.2193822625549305,"score_spread":0.2028635287115046,"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."}}