{"id":"W2981530918","doi":"10.1101/818658","title":"Patterns, predictors, and consequences of dominance in hybrids","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Environmental Biology; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Killam Trusts; Genome British Columbia; Genome Canada; Crop Trust; National Science Foundation","keywords":"Hybrid; Biology; Trait; Dominance (genetics); Pairwise comparison; Genetics; Evolutionary biology; Allele; Statistics; Gene; Mathematics","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":[0.0005858514,0.0001783568,0.0002915882,0.001071655,0.0003750327,0.0005882907,0.000245571,0.0002856696,0.001020321],"category_scores_gemma":[0.001392055,0.0001403699,0.0002588923,0.0004559355,0.0004298827,0.000279311,0.0006859027,0.0003934563,0.000131814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277736,"about_ca_system_score_gemma":0.0001065308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101725,"about_ca_topic_score_gemma":0.002659427,"domain_scores_codex":[0.999396,0.000129081,0.00005868224,0.000255184,0.00009046647,0.00007057573],"domain_scores_gemma":[0.9983547,0.0007561672,0.0004131909,0.0001698291,0.0001356223,0.000170341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004217375,0.00005757823,0.8221723,0.00005753403,0.0002782264,0.0002586129,0.0007533614,0.0005204511,0.1652681,0.0003745408,0.00008745736,0.00975005],"study_design_scores_gemma":[0.000003285264,0.00006800085,0.9972199,0.000002614235,0.00003141595,0.0001574613,0.0002045233,0.0002502102,0.0017716,0.000136693,0.0001435005,0.00001073419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999368,0.00009145613,0.0001736511,0.000007636707,0.000001044549,0.000001109389,0.00008238784,0.000004519174,0.0002702156],"genre_scores_gemma":[0.9996376,0.00002303307,0.0001218813,0.000006658655,0.000001629105,0.000002111831,0.0001153135,0.00000415731,0.00008757009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001071655,"threshold_uncertainty_score":0.00341326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008778734231422964,"score_gpt":0.2059761469109558,"score_spread":0.1971974126795328,"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."}}