{"id":"W2346311008","doi":"10.1186/s13062-016-0127-4","title":"Estimation of ribosome profiling performance and reproducibility at various levels of resolution","year":2016,"lang":"en","type":"article","venue":"Biology Direct","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Tel Aviv University","keywords":"Ribosome profiling; Biology; Computational biology; Profiling (computer programming); Protocol (science); DECIPHER; Ribosome; Computer science; Translation (biology); Data mining; Bioinformatics; Genetics; Gene; Messenger RNA; RNA","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007449406,0.00007228644,0.0001435015,0.00002349925,0.00003332643,8.321831e-7,0.0000644942,0.0001275936,0.00001002206],"category_scores_gemma":[0.0005630455,0.00004920852,0.00003071121,0.00003078579,0.0001306048,0.00000316552,0.00007496918,0.0000143073,0.000001499799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009576667,"about_ca_system_score_gemma":0.0000234596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007761702,"about_ca_topic_score_gemma":0.000002679946,"domain_scores_codex":[0.9991602,0.0001067068,0.0001980581,0.0003953035,0.0000352686,0.0001044129],"domain_scores_gemma":[0.9993058,0.00003233512,0.0001360292,0.0004592021,0.00004707386,0.00001959737],"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":[0.0001098889,0.00001408344,0.01645866,0.00003288308,0.0000155639,5.340559e-8,0.000009863252,0.000006180584,0.9437372,0.0001010685,0.00000968974,0.03950483],"study_design_scores_gemma":[0.000173197,0.0002984738,0.02657707,0.00002405026,0.000008294523,0.000004130428,0.000001301881,0.00005878994,0.9722134,0.0002745305,0.000303075,0.00006363621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970317,0.0005499315,0.001704477,0.00004647091,0.0000866749,0.0001572935,0.00004296732,0.000006872888,0.0003735532],"genre_scores_gemma":[0.9972186,0.0001561457,0.002274157,0.000007265492,0.00002961511,0.00001262494,0.000011257,0.000005488264,0.0002848353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0394412,"threshold_uncertainty_score":0.2006665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020437737905942,"score_gpt":0.258482165861756,"score_spread":0.238044427955814,"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."}}