{"id":"W4206934678","doi":"10.1101/2022.01.20.477157","title":"Heterosis counteracts hybrid breakdown to forestall speciation by parallel natural selection","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia","keywords":"Heterosis; Ecotype; Limnetic zone; Biology; Genetic algorithm; Hybrid; Reproductive isolation; Stickleback; Natural selection; Evolutionary biology; Selection (genetic algorithm); Ecology; Botany; Fish <Actinopterygii>; Fishery; Population","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":[0.0008411122,0.0003147025,0.0004591614,0.0004837663,0.0003668972,0.0007485716,0.0004774118,0.0004913618,0.003150219],"category_scores_gemma":[0.001497251,0.00036054,0.0003462251,0.0002401421,0.0009110373,0.0006333026,0.001756357,0.0008674923,0.0002470677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004840622,"about_ca_system_score_gemma":0.0003855695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000549773,"about_ca_topic_score_gemma":0.001437855,"domain_scores_codex":[0.9994093,0.0001183482,0.000036072,0.0002116169,0.0001408965,0.00008369669],"domain_scores_gemma":[0.9985973,0.0003528267,0.0003768404,0.0003111732,0.00009307433,0.0002687053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002305811,0.0001023072,0.0307009,0.0001233394,0.0001355205,0.0003485398,0.0003887303,0.0009518726,0.9490126,0.003266537,0.0001665375,0.01457247],"study_design_scores_gemma":[0.000144784,0.001078247,0.713917,0.00007739943,0.0002365836,0.003299172,0.001086882,0.0259376,0.23211,0.01414067,0.007845552,0.0001261331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950384,0.0001520361,0.003073245,0.00008870899,0.000008010817,0.000007902716,0.00003255014,0.0001039746,0.001495061],"genre_scores_gemma":[0.9981913,0.0000593046,0.0009257498,0.0001403696,0.000007173007,0.00001250553,0.00005602314,0.0000363429,0.000571193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003150219,"threshold_uncertainty_score":0.01053858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006983001951727671,"score_gpt":0.2075295026409674,"score_spread":0.2005465006892397,"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."}}