{"id":"W4391905080","doi":"10.1101/2024.02.12.579867","title":"Quantitative genetics of natural <i>S. cerevisiae</i> strains upon sexual mating reveals heritable determinants of cellular fitness","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Weizmann Institute of Science; Minerva Foundation","keywords":"Offspring; Biology; Trait; Genetic Fitness; Mating; Genetics; Inheritance (genetic algorithm); Evolutionary biology; Mating design; Quantitative trait locus; Quantitative genetics; Genetic variation; Heterosis; Gene; Hybrid; Pregnancy","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":[0.0005474701,0.0002868141,0.0001954694,0.0003508444,0.0001215723,0.0003329075,0.0002169156,0.0002038003,0.0003190378],"category_scores_gemma":[0.0008201087,0.0001159757,0.0002982526,0.0002628165,0.000290313,0.0001281534,0.000242328,0.0003511109,0.0000802002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000292172,"about_ca_system_score_gemma":0.0001191987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009058448,"about_ca_topic_score_gemma":0.001366033,"domain_scores_codex":[0.9997788,0.00006838208,0.0000150696,0.00006548803,0.00004909872,0.00002325481],"domain_scores_gemma":[0.9991688,0.0003749118,0.0002106575,0.0001086545,0.00007556836,0.00006147919],"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":[0.0001693503,0.0001058931,0.08923029,0.0000702649,0.0001121178,0.0001118334,0.0000800812,0.01057145,0.8889055,0.00134541,0.0001906268,0.009107183],"study_design_scores_gemma":[0.00001881254,0.0005325043,0.5916219,0.0000202997,0.0001097685,0.0005207451,0.0002085793,0.1459948,0.2569693,0.002503177,0.0014176,0.00008264631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953435,0.00004751944,0.003943688,0.00001671381,0.000002287758,0.000004163555,0.0003655468,0.00006216961,0.0002144372],"genre_scores_gemma":[0.9973992,0.00004154793,0.002039324,0.00001627259,0.000001419003,0.00001058861,0.0003749255,0.00001883465,0.0000978884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009058448,"threshold_uncertainty_score":0.002895355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04005199818466029,"score_gpt":0.237860243221569,"score_spread":0.1978082450369087,"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."}}