{"id":"W4394789703","doi":"10.1101/2024.04.06.587750","title":"Translational control of microglial inflammatory and neurodegenerative responses","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Toronto; Montreal Neurological Institute and Hospital; University of British Columbia; McGill University","funders":"Parkinsonfonden; Skånes universitetssjukhus; Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse; Fonds de recherche du Québec – Nature et technologies; Lunds Universitet; Canadian Institutes of Health Research; Alzheimer Society; Australian Government","keywords":"Microglia; Neuroprotection; PI3K/AKT/mTOR pathway; Neurodegeneration; mTORC1; EIF4E; Translation (biology); Neuroscience; Amyloid (mycology); Inflammation; Biology; Cell biology; Medicine; Signal transduction; Immunology; Disease; Messenger RNA; Gene; Pathology; Biochemistry","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":[0.000309346,0.0003985433,0.0002934962,0.0004251652,0.0003403586,0.0004891819,0.0001720853,0.0003258472,0.00340017],"category_scores_gemma":[0.0002326358,0.0001252496,0.0003041101,0.0002775082,0.0003657973,0.0002651749,0.0003458381,0.0003915799,0.001049919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004940978,"about_ca_system_score_gemma":0.0003364881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005132696,"about_ca_topic_score_gemma":0.0005204079,"domain_scores_codex":[0.9997588,0.00003612821,0.00001331432,0.00005947702,0.00006422493,0.00006803998],"domain_scores_gemma":[0.9998766,0.00001109975,0.00004026511,0.00001439884,0.00002667447,0.00003090745],"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":[0.0003493036,0.00003729016,0.0005288811,0.0001103092,0.00001368971,0.0001670652,0.00003944068,0.0001664717,0.9911815,0.001352109,0.0005211587,0.005532728],"study_design_scores_gemma":[0.00007136639,0.0004224681,0.04419107,0.00004209031,0.00004701535,0.0007711599,0.000184516,0.003551623,0.9263691,0.00427317,0.02004789,0.00002861908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459465,0.02044229,0.01081105,0.001613437,0.0005875825,0.00008347294,0.001590894,0.0004343624,0.01849043],"genre_scores_gemma":[0.9871694,0.002254006,0.002105576,0.0001548108,0.0001520904,0.00004839757,0.000787952,0.00005755735,0.007270257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00340017,"threshold_uncertainty_score":0.01137471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007538186231589578,"score_gpt":0.2187802169198339,"score_spread":0.2112420306882443,"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."}}