{"id":"W2898789738","doi":"10.1002/cpmb.79","title":"Polysome Profiling Analysis of mRNA and Associated Proteins Engaged in Translation","year":2018,"lang":"en","type":"article","venue":"Current Protocols in Molecular Biology","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Beatrice Hunter Cancer Research Institute; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Polysome; Messenger RNA; Translation (biology); Gene expression; Gene expression profiling; RNA; Biology; Ribosome profiling; Molecular biology; Protein biosynthesis; Sucrose gradient; Ultracentrifuge; Gene; Ribosome; Chemistry; Cell biology; Biochemistry; Enzyme","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":[0.0006983977,0.0001244225,0.0002503197,0.0002961749,0.00004421046,0.000008817048,0.0001379115,0.0001727076,0.000008735372],"category_scores_gemma":[0.0002085529,0.0001215662,0.00007322712,0.0006362807,0.0001766229,0.000004532407,0.00004168496,0.0001938934,4.748978e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002183701,"about_ca_system_score_gemma":0.00006707999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002314879,"about_ca_topic_score_gemma":0.000166608,"domain_scores_codex":[0.9984957,0.0004963001,0.0003684739,0.0003706742,0.00006487527,0.0002039731],"domain_scores_gemma":[0.9994553,0.00001574348,0.0001479047,0.0002561259,0.00009302902,0.00003188371],"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":[0.00007356033,0.0001496519,0.07624807,0.00002379925,0.00008887052,4.299618e-7,0.00009541725,0.00003765875,0.9129561,0.0004305048,0.000001530634,0.009894374],"study_design_scores_gemma":[0.002257146,0.0007871082,0.07162251,0.0001124877,0.0001008467,8.525348e-7,0.00005723226,0.002386438,0.9197551,0.0007491666,0.001817391,0.0003537243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738292,0.0006115179,0.01313669,0.00003466009,0.00003055669,0.0121889,0.00003235952,0.000006145366,0.0001299639],"genre_scores_gemma":[0.9841629,0.00003600871,0.001175645,0.00001859484,0.00002626169,0.01437559,0.000190008,0.00001011379,0.000004855503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196105,"threshold_uncertainty_score":0.4957327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0433446029201536,"score_gpt":0.376270786771481,"score_spread":0.3329261838513274,"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."}}