{"id":"W3128535705","doi":"10.1111/febs.15748","title":"Inferring translational heterogeneity from <i>Saccharomyces cerevisiae</i> ribosome profiling","year":2021,"lang":"en","type":"article","venue":"FEBS Journal","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ribosome profiling; Translation (biology); Computational biology; Saccharomyces cerevisiae; Ribosome; Biology; Eukaryotic translation; Protein biosynthesis; Translational regulation; Genetics; Messenger RNA; Gene; RNA","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002197134,0.0001426771,0.000154981,0.00002451706,0.0002050948,0.0001161036,0.000166905,0.0001289474,0.0002882651],"category_scores_gemma":[0.00007023658,0.0001351764,0.0001755859,0.00005498626,0.00002092601,0.00001218752,0.00005160711,0.0001606605,0.00002024778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008991893,"about_ca_system_score_gemma":0.0001445785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000304223,"about_ca_topic_score_gemma":0.000009335834,"domain_scores_codex":[0.9988974,0.0001305609,0.0002708074,0.0002668889,0.0002116349,0.0002227296],"domain_scores_gemma":[0.9994282,0.00001869625,0.000110377,0.0002025091,0.0001155946,0.0001246695],"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":[0.00003238681,0.00002835629,0.009099814,0.000008797591,0.00008738956,0.00003218041,0.00001882166,0.00006562066,0.9858095,0.00008242518,0.000103473,0.004631216],"study_design_scores_gemma":[0.0003747968,0.00004348366,0.002166927,0.00004242359,0.0000248981,0.0002576466,0.0000284479,0.0000226448,0.9833839,0.00170661,0.0117737,0.0001745565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97522,0.006321422,0.01690394,0.0003825403,0.0003577548,0.00006811202,0.00004550494,0.00001015405,0.0006906192],"genre_scores_gemma":[0.9826536,0.0005680383,0.01503159,0.0002709198,0.001212857,0.000006822498,0.0001026268,0.00002289391,0.0001307025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01167022,"threshold_uncertainty_score":0.5512333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956458546785835,"score_gpt":0.2598491727383163,"score_spread":0.2402845872704579,"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."}}