{"id":"W2523610569","doi":"10.1261/rna.057513.116","title":"ARiBo pull-down for riboproteomic studies based on label-free quantitative mass spectrometry","year":2016,"lang":"en","type":"article","venue":"RNA","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Parkinson Society Canada","keywords":"Biology; RNA; Interactome; Computational biology; microRNA; Biogenesis; Cell biology; RNA-binding protein; Function (biology); Mass spectrometry; Biochemistry; Chemistry; Gene; Chromatography","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":[0.0002785985,0.0001299606,0.0001525157,0.00006736677,0.00009213784,0.00001511735,0.0002334923,0.00007234017,0.00001788227],"category_scores_gemma":[0.00109867,0.00008451795,0.00007985287,0.00007436728,0.00008435806,0.000003466715,0.00006091089,0.00005680757,0.00002665025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004276039,"about_ca_system_score_gemma":0.00005777024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008688827,"about_ca_topic_score_gemma":0.00002069705,"domain_scores_codex":[0.9990268,0.0000449151,0.0001289807,0.0003094597,0.0001514857,0.0003383786],"domain_scores_gemma":[0.99924,0.0001131098,0.00005217698,0.0003967269,0.0001216982,0.00007622476],"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":[0.0004284048,0.00003779859,0.0002520601,0.00002633854,0.0000855121,0.000003135372,0.000005899232,0.000005819676,0.9912676,0.000673553,0.005358328,0.001855531],"study_design_scores_gemma":[0.001896762,0.001787547,0.0004365793,0.00006338402,0.00001090047,9.390483e-7,0.00006824769,0.0003245361,0.9916862,0.001246575,0.002301596,0.0001766822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587073,0.0006469868,0.03677541,0.002431889,0.0001057657,0.0004318848,0.0001425238,0.00001610709,0.0007421461],"genre_scores_gemma":[0.9744922,0.0002288339,0.01948794,0.0003181804,0.0002121926,0.0001165838,0.00002770327,0.00002847782,0.005087914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01728747,"threshold_uncertainty_score":0.3446542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650589873283509,"score_gpt":0.3365316789647855,"score_spread":0.3000257802319504,"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."}}