{"id":"W4205962506","doi":"10.1002/alz.054899","title":"Clinical relevance of three‐range cutpoints in Alzheimer’s disease CSF biomarkers","year":2021,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biomarker; Medicine; Oncology; Cognitive impairment; Internal medicine; Psychology; Disease; 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":[0.02238405,0.001006016,0.001103079,0.002338285,0.0007158277,0.002435495,0.001628338,0.001772035,0.001817009],"category_scores_gemma":[0.06720927,0.0002955838,0.001513634,0.001166116,0.001242755,0.001593303,0.002068059,0.001747639,0.0005936592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005798336,"about_ca_system_score_gemma":0.0005206406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149468,"about_ca_topic_score_gemma":0.0007646446,"domain_scores_codex":[0.985911,0.008851574,0.00117617,0.001900681,0.001691716,0.0004689429],"domain_scores_gemma":[0.9527355,0.03187118,0.004834337,0.005005192,0.004019261,0.00153453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01015172,0.0004406585,0.8694013,0.0003039895,0.001240274,0.0003932702,0.0008533318,0.0108,0.003602245,0.001857019,0.002145045,0.09881116],"study_design_scores_gemma":[0.0005134543,0.005044125,0.8247698,0.0004755491,0.001005169,0.002157295,0.001163809,0.1210961,0.007431194,0.03221337,0.003827467,0.0003027517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625611,0.002876135,0.0302147,0.0006412435,0.000128781,0.0001779431,0.0008056004,0.0002044453,0.002390221],"genre_scores_gemma":[0.993518,0.00006612047,0.005774971,0.00007240877,0.0000227613,0.00006430221,0.0003684513,0.00002055009,0.00009251389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02238405,"threshold_uncertainty_score":0.1183796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06460735773733228,"score_gpt":0.3713647129300845,"score_spread":0.3067573551927522,"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."}}