{"id":"W3129534024","doi":"10.3389/fnagi.2021.631738","title":"Plasma Neurofilament Light Chain as a Predictive Biomarker for Post-stroke Cognitive Impairment: A Prospective Cohort Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health and Family Planning Commission of Sichuan Province","keywords":"Biomarker; Prospective cohort study; Medicine; Cohort; Stroke (engine); Cognition; Cognitive impairment; Physical medicine and rehabilitation; Internal medicine; Oncology; Psychology; Disease; Psychiatry; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001779909,0.0006435448,0.0006574882,0.0007945831,0.0007436114,0.001012767,0.0006353363,0.0005963965,0.001120411],"category_scores_gemma":[0.002612571,0.0005476802,0.0009208526,0.00132544,0.000378318,0.0007089592,0.0006067525,0.001046745,0.0002715414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031201,"about_ca_system_score_gemma":0.0006472425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004519003,"about_ca_topic_score_gemma":0.005784723,"domain_scores_codex":[0.9991079,0.0001758563,0.00009833497,0.000316331,0.0001386275,0.0001629171],"domain_scores_gemma":[0.9981886,0.000259613,0.0006305626,0.0003176929,0.0002618596,0.0003416251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000448082,0.00007389502,0.9984639,0.000008058127,0.0001795765,0.00007903184,0.00004122498,0.00002032508,0.0001545619,0.00001021428,0.00006999283,0.0004511784],"study_design_scores_gemma":[0.00005042636,0.000362892,0.9986097,0.000006730673,0.000181401,0.0002337346,0.0001072732,0.0002522273,0.00004878661,0.00002456382,0.0001155329,0.000006731681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992405,0.0001579276,0.00009285244,0.00002100751,0.00001044974,0.00001866591,0.0003493729,0.000002228617,0.0001070102],"genre_scores_gemma":[0.999076,0.0001115247,0.0001135243,0.00002912055,0.00002415367,0.00002509666,0.0005224469,0.000002394294,0.00009562403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004519003,"threshold_uncertainty_score":0.009413183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309302945325248,"score_gpt":0.2874362822787022,"score_spread":0.2743432528254497,"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."}}