{"id":"W3024239323","doi":"10.1093/brain/awaa098","title":"Neurofilaments: neurobiological foundations for biomarker applications","year":2020,"lang":"en","type":"review","venue":"Brain","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":317,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; Montreal Neurological Institute and Hospital","funders":"H2020 European Research Council; National Institute on Aging; Vetenskapsrådet; Hjärnfonden; Alzheimer’s Research UK; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Institut National de la Santé et de la Recherche Médicale; Medical Research Council; Association Française contre les Myopathies; National Institute on Handicapped Research","keywords":"Biomarker; Neurofilament; Neuroscience; Psychology; Medicine; Biology; Pathology; Biochemistry; Immunohistochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001714948,0.001466261,0.002088103,0.003685977,0.0003779147,0.001833422,0.001426724,0.002799386,0.003048556],"category_scores_gemma":[0.002091343,0.0004824138,0.0008116837,0.002190716,0.001707402,0.003087845,0.00125204,0.004727198,0.002880913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443482,"about_ca_system_score_gemma":0.001711586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112365,"about_ca_topic_score_gemma":0.00115304,"domain_scores_codex":[0.9994619,0.000108825,0.00009821486,0.00009652368,0.0001984668,0.00003609748],"domain_scores_gemma":[0.9987298,0.0007300719,0.0001088847,0.00004645973,0.0003130902,0.00007163744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000953292,0.00007117888,0.0002777851,0.01466483,0.00009727859,0.0003424179,0.00008695456,0.0004533153,0.002823583,0.01905827,0.02738195,0.9346471],"study_design_scores_gemma":[0.00001331395,0.0000926084,0.0007178748,0.004882275,0.00006677264,0.001622448,0.00006642339,0.0001415563,0.0007824397,0.009879487,0.9817042,0.00003070705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005353975,0.9980819,0.0002459711,0.000582427,0.0003816112,0.00000477313,0.00001521251,0.000008585065,0.0006259757],"genre_scores_gemma":[0.0005468669,0.9976666,0.0004476491,0.0003801418,0.000412497,0.00001171968,0.00002835123,0.000002323377,0.000503806],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003685977,"threshold_uncertainty_score":0.01047319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2533730033773831,"score_gpt":0.4060052472543452,"score_spread":0.1526322438769621,"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."}}