{"id":"W2505019684","doi":"10.1371/journal.pgen.1006192","title":"Tracking the Fragile X Mental Retardation Protein in a Highly Ordered Neuronal RiboNucleoParticles Population: A Link between Stalled Polyribosomes and RNA Granules","year":2016,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Natural Sciences and Engineering Research Council of Canada; FP7 People: Marie-Curie Actions; Canadian Institutes of Health Research","keywords":"Polysome; Biology; RNA; Stress granule; Cell biology; FMR1; Protein biosynthesis; Population; Soma; Messenger RNA; Fragile X syndrome; RNA-binding protein; Translation (biology); Genetics; Fragile x; Neuroscience; Ribosome; 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":[0.0000978619,0.000145545,0.0001295582,0.0005438536,0.0001537775,0.0003289777,0.0001605184,0.0003254932,0.0006142787],"category_scores_gemma":[0.0001250363,0.000169979,0.0001417429,0.0002359749,0.0001459924,0.0002164559,0.0002462167,0.0003217701,0.0002826467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840271,"about_ca_system_score_gemma":0.0000941793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006014417,"about_ca_topic_score_gemma":0.001087893,"domain_scores_codex":[0.9999487,0.000003048125,0.000003024661,0.00002068379,0.00001145274,0.00001306208],"domain_scores_gemma":[0.9998928,0.00001556255,0.00003789577,0.000007667673,0.00001543405,0.00003067113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003841893,0.000005603604,0.001239241,0.00002172521,0.000004782136,0.00008563194,0.00002454885,0.00003190112,0.9972036,0.00006441303,0.00002965189,0.001250484],"study_design_scores_gemma":[0.00002233373,0.0003027965,0.2316315,0.00004014565,0.00007581263,0.002629091,0.0002786614,0.009240138,0.7512611,0.0005045544,0.003978814,0.00003509386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983959,0.001687,0.01264452,0.00008995656,0.00002188051,0.00002573334,0.0004767046,0.0001710044,0.0009242164],"genre_scores_gemma":[0.9790166,0.001191416,0.01682123,0.00009631408,0.00002064002,0.0000619994,0.0007262382,0.00005270609,0.002012759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006142787,"threshold_uncertainty_score":0.002054989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767781257038315,"score_gpt":0.2269495725812362,"score_spread":0.209271760010853,"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."}}