{"id":"W4388933698","doi":"10.1101/2023.11.23.568466","title":"Single-cell imaging of protein dynamics of paralogs reveals mechanisms of gene retention","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto; Concordia University","funders":"Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Tartu Ülikool; National Institutes of Health; Concordia University; Wellcome Trust","keywords":"Biology; Gene duplication; Functional divergence; Gene; Robustness (evolution); Genome; Genetics; Protein subcellular localization prediction; Computational biology; Subcellular localization; Evolutionary biology; Gene family","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":[0.0001561242,0.0001817635,0.0002930271,0.0002150765,0.0002266115,0.0003459205,0.0003103488,0.0003877128,0.0006350632],"category_scores_gemma":[0.0001680984,0.0001732388,0.0001694473,0.0001789628,0.000301986,0.0004156496,0.0003412324,0.0007380634,0.0003005714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000347664,"about_ca_system_score_gemma":0.0002080346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007758633,"about_ca_topic_score_gemma":0.001637411,"domain_scores_codex":[0.9999146,0.000005089547,0.000003551193,0.0000350546,0.00002168989,0.00001993792],"domain_scores_gemma":[0.9998177,0.00004580065,0.00004158236,0.00002783357,0.00002950093,0.00003757527],"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":[0.00002331861,0.00000548618,0.0006852185,0.00001679883,0.000002591058,0.00004584848,0.00001744546,0.00009166842,0.9979491,0.0001017789,0.00003473867,0.001026074],"study_design_scores_gemma":[0.000008570053,0.00007889725,0.03476207,0.000007896639,0.00001445279,0.0004173242,0.0001460371,0.01341693,0.9492308,0.0003258949,0.001577847,0.00001326369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784533,0.0006864672,0.01921031,0.0001167084,0.00002408253,0.00001434943,0.0003885016,0.0001405321,0.0009658022],"genre_scores_gemma":[0.9833331,0.0006742309,0.01411133,0.00007967358,0.00001091254,0.00003014014,0.0003592878,0.00007188634,0.001329433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007758633,"threshold_uncertainty_score":0.002522469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913334135460283,"score_gpt":0.2313041970494583,"score_spread":0.2121708556948555,"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."}}