{"id":"W2980828285","doi":"10.1016/j.jalz.2019.06.2770","title":"P2‐363: SERUM NEUROFILAMENT LIGHT PROTEIN AS A POTENTIAL BIOMARKER OF NEURODEGENERATION IN FORMER PROFESSIONAL ATHLETES WITH MULTIPLE CONCUSSIONS","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; University Health Network; Toronto Western Hospital; Occupational Cancer Research Centre","funders":"","keywords":"Neurodegeneration; Corpus callosum; Chronic traumatic encephalopathy; Biomarker; Medicine; Cingulum (brain); Frontotemporal lobar degeneration; Internal medicine; Pathology; Oncology; Frontotemporal dementia; Fractional anisotropy; Diffusion MRI; Disease; Magnetic resonance imaging; Concussion; Poison control; Dementia; Radiology; Biology","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":[0.0002028952,0.0002631588,0.0001860431,0.0004776471,0.0004435644,0.0002997575,0.0001664441,0.0003688491,0.001075687],"category_scores_gemma":[0.0005424907,0.0001361365,0.0001417917,0.0002489846,0.0002096593,0.0001855742,0.0002908827,0.0001985265,0.0001744033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786366,"about_ca_system_score_gemma":0.0001307592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003219206,"about_ca_topic_score_gemma":0.004417332,"domain_scores_codex":[0.9999018,0.00001516186,0.00001186763,0.00002901264,0.00001862042,0.00002351856],"domain_scores_gemma":[0.9997478,0.00002769086,0.0001004274,0.00001337576,0.00004165168,0.00006900223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003985338,0.00008995322,0.988633,0.0000201972,0.00002696122,0.0005159159,0.000234216,0.00004446922,0.006292567,0.00001017072,0.00006389829,0.003670268],"study_design_scores_gemma":[0.00000265733,0.0001993267,0.9981284,0.000003050101,0.00001092747,0.0008230377,0.0001475568,0.0001077313,0.0004996303,0.00000854904,0.00006754278,0.0000017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997939,0.00004903713,0.00003596934,0.000006908939,9.836881e-7,0.000003580184,0.0000281418,0.000001182521,0.00008029394],"genre_scores_gemma":[0.9995891,0.00003384342,0.00008362702,0.000008229129,0.000003258008,0.000005851425,0.00008195917,6.366165e-7,0.0001934109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003219206,"threshold_uncertainty_score":0.006400943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03313141269421331,"score_gpt":0.3018379674422248,"score_spread":0.2687065547480115,"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."}}