{"id":"W4307495616","doi":"10.1093/nar/gkac939","title":"RiboXYZ: a comprehensive database for visualizing and analyzing ribosome structures","year":2022,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; National Aeronautics and Space Administration","keywords":"Biology; Computational biology; Ribosome; Database; Genetics; RNA; Computer science; 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":[0.001712193,0.002908626,0.002671124,0.005498038,0.00114641,0.00453575,0.004704207,0.00237042,0.03295777],"category_scores_gemma":[0.00516417,0.001703751,0.001930187,0.005697827,0.0004908632,0.004173892,0.005442901,0.002356924,0.03842716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009074602,"about_ca_system_score_gemma":0.002206687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003062907,"about_ca_topic_score_gemma":0.004266455,"domain_scores_codex":[0.9988883,0.0001503294,0.000177913,0.0002303411,0.0004053441,0.0001477362],"domain_scores_gemma":[0.9988312,0.000334513,0.0001828084,0.0002840589,0.0002108472,0.0001565499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001418101,0.0001801946,0.003246879,0.009399682,0.0004115446,0.001111418,0.0007941579,0.004587491,0.0391654,0.01492218,0.7568566,0.1679063],"study_design_scores_gemma":[0.0004015319,0.000099784,0.006083239,0.001066836,0.0002368615,0.001655338,0.0002988439,0.01176975,0.02547479,0.0138239,0.9387556,0.0003336605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01364816,0.01364735,0.1506627,0.0006691786,0.0004074835,0.0003885192,0.4648105,0.3372229,0.01854332],"genre_scores_gemma":[0.0327126,0.009602391,0.1632043,0.0005874127,0.0001155127,0.001043705,0.7467425,0.03905037,0.006941178],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03295777,"threshold_uncertainty_score":0.1102547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06636169145257198,"score_gpt":0.3727556626910815,"score_spread":0.3063939712385095,"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."}}