{"id":"W4381716452","doi":"10.1007/s10126-023-10227-2","title":"SNP Panel and Genomic Sex Identification in Atlantic Halibut (Hippoglossus hippoglossus)","year":2023,"lang":"en","type":"article","venue":"Marine Biotechnology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Population Health Research Institute; Memorial University of Newfoundland; Dalhousie University; Parks Canada; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; Ocean Frontier Institute","keywords":"Hippoglossus hippoglossus; Halibut; Biology; Single-nucleotide polymorphism; Genetics; SNP; Population; Genomics; Population genomics; Genotype; Evolutionary biology; Fishery; Genome; Gene; Demography; 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":[0.0001531972,0.0001653072,0.0001206791,0.0005992202,0.0003136027,0.0002278129,0.0001628948,0.0002095899,0.001445788],"category_scores_gemma":[0.0002043607,0.00007504319,0.0001441095,0.0003681603,0.0001165846,0.00005628348,0.0001802144,0.0001704346,0.0002026937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509825,"about_ca_system_score_gemma":0.0001638153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009081746,"about_ca_topic_score_gemma":0.02192958,"domain_scores_codex":[0.9998872,0.00001253303,0.000006608494,0.00004169517,0.00003203454,0.00001996074],"domain_scores_gemma":[0.9998895,0.00002371093,0.00003068684,0.00000655238,0.00002626892,0.00002340736],"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":[0.0009232559,0.0001141164,0.8016195,0.00003949795,0.0001929468,0.001134079,0.0004445889,0.0007073348,0.1680096,0.0001625085,0.0008944911,0.02575804],"study_design_scores_gemma":[0.000007761229,0.00006174967,0.993789,0.000005610483,0.00007418748,0.0003834073,0.0001276365,0.0008071744,0.004006459,0.00004343936,0.0006871482,0.000006465323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978426,0.00007340072,0.0004085354,0.00002510379,0.000004874296,0.000004942946,0.00109719,0.00001020765,0.0005332414],"genre_scores_gemma":[0.9967056,0.0000398747,0.0006595295,0.00005096901,0.000003116343,0.00001087207,0.001280028,0.000005283075,0.001244733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009081746,"threshold_uncertainty_score":0.01805776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743288228326874,"score_gpt":0.2407374393963963,"score_spread":0.2233045571131275,"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."}}