{"id":"W2486833005","doi":"10.1101/063248","title":"Differential paralog divergence modulates evolutionary outcomes in yeast","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; National Institutes of Health; National Science Foundation","keywords":"Saccharomyces cerevisiae; Biology; Genetics; Gene; Gene duplication; Locus (genetics); Evolutionary biology; Molecular evolution; Phylogenetics","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":[0.0002848917,0.0002850357,0.0002824194,0.0004143769,0.0002187523,0.0004839704,0.0003069224,0.0003075316,0.001261413],"category_scores_gemma":[0.0005283671,0.000158604,0.0001818757,0.0003001066,0.0002813857,0.0002096383,0.0005477286,0.0005701521,0.000277811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279505,"about_ca_system_score_gemma":0.0001422869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004651197,"about_ca_topic_score_gemma":0.0009408165,"domain_scores_codex":[0.9997709,0.00005473278,0.00002054657,0.00006145667,0.00005884118,0.00003350828],"domain_scores_gemma":[0.9996256,0.0001358662,0.00007028891,0.00004498863,0.00006570024,0.00005756434],"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":[0.00006981158,0.00001828427,0.001925334,0.00001929525,0.000007294763,0.00005299298,0.00003442831,0.0001465571,0.9963486,0.00007298636,0.00001501031,0.001289529],"study_design_scores_gemma":[0.00003228778,0.0006674288,0.1690616,0.00001562574,0.00004980027,0.0009387781,0.0005028556,0.008787651,0.8157254,0.000525476,0.00364271,0.00005033893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978954,0.0001433037,0.001239818,0.00002475694,0.000007530486,0.000009229686,0.0001672703,0.00004391218,0.0004689271],"genre_scores_gemma":[0.9984245,0.00008680825,0.0006555362,0.00003351966,0.000003086673,0.00001193139,0.0002892414,0.00003904386,0.0004562855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001261413,"threshold_uncertainty_score":0.00421983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799484264430179,"score_gpt":0.2133104991053361,"score_spread":0.1953156564610344,"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."}}