{"id":"W4386763260","doi":"10.1101/2023.09.12.557169","title":"Investigating structural variant, indel and single nucleotide polymorphism differentiation between locally adapted Atlantic salmon populations","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Biology; Salmo; Genetics; Single-nucleotide polymorphism; Indel; Genotyping; Evolutionary biology; Local adaptation; Structural variation; Population; Genome; Genotype; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002473274,0.0001689035,0.0003128621,0.001131173,0.0004050848,0.0004020657,0.0002691469,0.0002489426,0.001507268],"category_scores_gemma":[0.0005476606,0.00009099187,0.0003407633,0.0009554529,0.0002839846,0.00009375922,0.0002877089,0.0002542638,0.0002320083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004875484,"about_ca_system_score_gemma":0.0004910963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04473405,"about_ca_topic_score_gemma":0.1258782,"domain_scores_codex":[0.9997631,0.00002864423,0.00001924624,0.0001054232,0.00004772343,0.00003594954],"domain_scores_gemma":[0.9995288,0.0001189593,0.0001143267,0.00003835143,0.0001151924,0.00008446207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004609542,0.0000429569,0.7235481,0.0001214319,0.0004450549,0.0004953279,0.0009737887,0.0006273656,0.2603703,0.0001400099,0.0001587651,0.01261583],"study_design_scores_gemma":[0.000005718326,0.00007615503,0.9962991,0.000008618478,0.00005988175,0.0001529277,0.0003183144,0.0007524932,0.001849891,0.00002261613,0.0004460961,0.000008184204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988688,0.00006504356,0.0004007067,0.000006682213,0.000001362735,0.000008036868,0.0004270843,0.000007744786,0.0002145393],"genre_scores_gemma":[0.9977596,0.00003209454,0.0009741966,0.00001866386,0.0000019804,0.00001112315,0.000861688,0.000007088136,0.0003335215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04473405,"threshold_uncertainty_score":0.08894736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004112515080096,"score_gpt":0.2183277841334173,"score_spread":0.1882866589826164,"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."}}