{"id":"W2095848833","doi":"10.1017/s1355838202026018","title":"One-step affinity purification of the yeast ribosome and its associated proteins and mRNAs","year":2002,"lang":"en","type":"article","venue":"RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval","funders":"Japan Society for the Promotion of Science; National Center for Research Resources; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Biology; Ribosome; Ribosome profiling; Polysome; Messenger RNA; Saccharomyces cerevisiae; Yeast; Biochemistry; Translation (biology); Protein biosynthesis; Eukaryotic Ribosome; Initiation factor; Cell biology; Molecular biology; RNA; Gene","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":[0.0003407708,0.0009924193,0.001185015,0.000534312,0.0004981203,0.0005772895,0.0008851177,0.0004768255,0.001994692],"category_scores_gemma":[0.0005359685,0.000431606,0.0006840837,0.00047572,0.0002533051,0.0002907224,0.0007708347,0.001462066,0.003011142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004154399,"about_ca_system_score_gemma":0.0005806772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410042,"about_ca_topic_score_gemma":0.003480097,"domain_scores_codex":[0.9994936,0.00005902407,0.00003839363,0.0000766078,0.0002468712,0.00008551664],"domain_scores_gemma":[0.9996439,0.0000981202,0.00004011888,0.00006042964,0.00009647526,0.00006086168],"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":[0.00006486019,0.0000799561,0.0001977095,0.0002524156,0.00002365216,0.0001017836,0.00002926209,0.0001038975,0.988868,0.0002829904,0.0007160012,0.00927946],"study_design_scores_gemma":[0.00004703808,0.000269415,0.004159146,0.00003582081,0.00007982042,0.001059556,0.00005056393,0.00158985,0.9564761,0.0005196752,0.03565578,0.00005724701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4813195,0.02981644,0.4647716,0.00200205,0.001008659,0.001950875,0.004537547,0.003375175,0.01121822],"genre_scores_gemma":[0.5556845,0.02077606,0.3516309,0.001351506,0.0004131629,0.001747676,0.02733628,0.0006850233,0.04037499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001994692,"threshold_uncertainty_score":0.006672919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254440298418236,"score_gpt":0.2158634159293287,"score_spread":0.1933190129451463,"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."}}