{"id":"W4212774082","doi":"10.3389/fnagi.2022.821865","title":"Clinical Correlates Identify ProBDNF and Thrombo-Inflammatory Markers as Key Predictors of Circulating p75NTR Extracellular Domain Levels in Older Adults","year":2022,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Institut de Cardiologie de Montréal; Fondation Institut de Cardiologie de Montréal; Fonds de recherche du Québec – Nature et technologies; Université de Montréal; Canadian Vascular Network","keywords":"Cohort; Brain-derived neurotrophic factor; Receptor; Clinical significance; Biomarker; Extracellular; Neurotrophin; Medicine; Internal medicine; Psychology; Neurotrophic factors; Endocrinology; Oncology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004168245,0.0003098025,0.0003181839,0.0005199912,0.0002555467,0.0004653663,0.0001960609,0.0004643593,0.0009637631],"category_scores_gemma":[0.001945457,0.0001185944,0.0002425561,0.0004954606,0.000183841,0.0002984329,0.0002771248,0.0003875663,0.0001762413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342188,"about_ca_system_score_gemma":0.0001609123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172203,"about_ca_topic_score_gemma":0.002964645,"domain_scores_codex":[0.9998327,0.00003355842,0.0000285043,0.00004238809,0.00003194304,0.00003085506],"domain_scores_gemma":[0.9990706,0.0002008029,0.0003906398,0.00004650311,0.0001021823,0.0001893496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001650716,0.00001829077,0.9983371,0.000005712198,0.00001807737,0.00009903846,0.00002748769,0.00002032351,0.0002673072,0.000008426147,0.00003367368,0.0009993766],"study_design_scores_gemma":[0.000004812234,0.00007502074,0.9992902,0.000003632496,0.00001947738,0.0002661609,0.00004847436,0.0001523506,0.00004800374,0.00002572996,0.00006458951,0.000001444676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991014,0.0004105429,0.0000639881,0.00002253738,0.000003814611,0.000003479492,0.0001283504,0.000002741452,0.0002632128],"genre_scores_gemma":[0.9995176,0.00009920834,0.00006124301,0.00001370288,0.00001111864,0.00000353903,0.0001553235,7.664493e-7,0.0001374837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002172203,"threshold_uncertainty_score":0.004319191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131492857048924,"score_gpt":0.2843683593731083,"score_spread":0.2630534308026191,"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."}}