{"id":"W3185213439","doi":"10.1007/s00401-021-02343-x","title":"Cross-platform transcriptional profiling identifies common and distinct molecular pathologies in Lewy body diseases","year":2021,"lang":"en","type":"article","venue":"Acta Neuropathologica","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"NIHR Imperial Biomedical Research Centre; Medical Research Council; Fonds de Recherche du Québec - Santé; Wellcome; Imperial College London; Edmond J. Safra Philanthropic Foundation; Wolfson Foundation; Dolby Family Ventures; Rosetrees Trust; Parkinson's UK; UK Dementia Research Institute; National Institute for Health and Care Research; UK Research and Innovation; Wellcome Trust","keywords":"Lewy body; Profiling (computer programming); Biology; Lewy body disease; Pathology; Computational biology; Medicine; Neuroscience; Dementia; Dementia with Lewy bodies; Disease; Computer science","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":[0.0001056077,0.0002117056,0.0002133444,0.00004313972,0.0001339473,0.0001289052,0.0001827892,0.000116253,0.0000210154],"category_scores_gemma":[0.0003059482,0.0001891947,0.0001132133,0.00009106784,0.0002223039,0.00001362223,0.0002521637,0.0001293441,0.000002884998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007629839,"about_ca_system_score_gemma":0.00005716917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002670979,"about_ca_topic_score_gemma":0.000005997615,"domain_scores_codex":[0.9986142,0.0001154386,0.0002645574,0.0005928679,0.0001208376,0.0002920878],"domain_scores_gemma":[0.9994056,0.00002915417,0.00006800587,0.0003342335,0.00007193073,0.00009111335],"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":[0.00007726944,0.0002067417,0.1167965,0.0000345071,0.000008825689,0.002482317,0.00001994304,0.0000250597,0.8797504,0.0001909045,0.00002324508,0.0003843228],"study_design_scores_gemma":[0.0005022059,0.0002193835,0.8629076,0.00001452812,0.00003123056,0.0005663707,0.0001135812,0.00002746254,0.1333458,0.0008936267,0.001081687,0.0002965657],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952335,0.003679617,0.00005653533,0.0001363484,0.0001493907,0.0001441367,0.0002134227,0.00002918531,0.0003578475],"genre_scores_gemma":[0.9980356,0.0006841485,0.0001469565,0.0003600653,0.00005451489,0.0000343911,0.0005356082,0.00002226801,0.0001265021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7464046,"threshold_uncertainty_score":0.7715136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273079086794836,"score_gpt":0.2620692699545211,"score_spread":0.2493384790865727,"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."}}