{"id":"W3175238884","doi":"10.1101/2021.06.30.450598","title":"The diverse effects of phenotypic dominance on hybrid fitness","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Killam Trusts; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Dominance (genetics); Biology; Hybrid; Heterosis; Allele; Outbreeding depression; Evolutionary biology; Genetics; Inbreeding; Population; Demography; Gene","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":[0.0007303552,0.0004999938,0.0003928424,0.0005520683,0.0003511645,0.0006200605,0.0004069546,0.0003919909,0.002136495],"category_scores_gemma":[0.0009160021,0.0002135656,0.0004685786,0.0002352737,0.0005091774,0.0005090347,0.0009049144,0.0007315957,0.0003405491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004698184,"about_ca_system_score_gemma":0.0001258745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005402234,"about_ca_topic_score_gemma":0.0007644359,"domain_scores_codex":[0.9993274,0.0002600238,0.00004770636,0.0001568721,0.0001451712,0.00006284066],"domain_scores_gemma":[0.9990607,0.0005200102,0.0001358091,0.0001516737,0.00005498128,0.00007686582],"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":[0.000197563,0.00006551498,0.01479899,0.000123262,0.0001408875,0.0002654772,0.00009399115,0.007608102,0.9590597,0.003468452,0.0002367932,0.01394135],"study_design_scores_gemma":[0.00007870632,0.0009904241,0.2411959,0.00006124676,0.0004556578,0.002473311,0.0003308921,0.1616526,0.566183,0.01977629,0.006583225,0.0002189495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835158,0.0005077069,0.01197505,0.0001363299,0.00001569657,0.000007489105,0.0002293355,0.00009448532,0.003518037],"genre_scores_gemma":[0.9976693,0.0001152956,0.001524162,0.00004554864,0.000005437116,0.00000576389,0.00008115851,0.00003489263,0.0005184576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002136495,"threshold_uncertainty_score":0.007147312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005137487617457169,"score_gpt":0.2052171831967623,"score_spread":0.2000796955793051,"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."}}