{"id":"W2893558890","doi":"10.1101/429803","title":"Temperature preference biases parental genome retention during hybrid evolution","year":2018,"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":"","funders":"Canadian Institute for Advanced Research; Howard Hughes Medical Institute; National Science Foundation","keywords":"Biology; Locus (genetics); Genetics; Genome; Loss of heterozygosity; Saccharomyces cerevisiae; Hybrid; Haplotype; Allele; Evolutionary biology; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003284264,0.0002175005,0.000202563,0.0002617532,0.0002217181,0.000542859,0.0002979576,0.0003110728,0.001428108],"category_scores_gemma":[0.000412112,0.0001689748,0.0002059477,0.0001861423,0.0002412466,0.000257736,0.0007907146,0.0005699,0.0002326227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000337935,"about_ca_system_score_gemma":0.0001085891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003954741,"about_ca_topic_score_gemma":0.0009741014,"domain_scores_codex":[0.9998023,0.00004365163,0.00001153903,0.00005958579,0.00004704247,0.00003579532],"domain_scores_gemma":[0.9997694,0.00006842567,0.00005150288,0.00004208854,0.00003476866,0.00003375967],"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":[0.0000774919,0.00001871341,0.005257668,0.00001548373,0.00001922615,0.00006321821,0.00006445722,0.0002989652,0.9915943,0.0001924629,0.00002421423,0.002373698],"study_design_scores_gemma":[0.00002503711,0.0005516191,0.2074826,0.00002015581,0.0001074462,0.001317756,0.0007058765,0.00865471,0.775106,0.0006637464,0.005302042,0.00006305612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980478,0.00008842179,0.001018311,0.00002344111,0.000005062982,0.00000300203,0.00006031843,0.00002202134,0.0007314996],"genre_scores_gemma":[0.9986528,0.00004776659,0.0005985039,0.00002527266,0.00000213706,0.000004242899,0.0001248515,0.0000252111,0.0005191694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001428108,"threshold_uncertainty_score":0.004777491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377390462171139,"score_gpt":0.2134445574597048,"score_spread":0.1996706528379935,"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."}}