{"id":"W4385808054","doi":"10.1101/2023.08.09.23293841","title":"Biological variation estimates of Alzheimer’s disease plasma biomarkers in healthy individuals","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Vetenskapsrådet","keywords":"Context (archaeology); Glial fibrillary acidic protein; Alzheimer's disease; Variation (astronomy); Disease; Blood plasma; Internal medicine; Medicine; Biology; Endocrinology","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":[0.006832922,0.0004739142,0.0005048826,0.001160752,0.0002788808,0.0009450899,0.0006123136,0.000549393,0.001045751],"category_scores_gemma":[0.01179109,0.0001842907,0.000629512,0.001145648,0.0003686248,0.0002997075,0.0005793162,0.0002618368,0.0003058463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002832842,"about_ca_system_score_gemma":0.0002048334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002528546,"about_ca_topic_score_gemma":0.001346775,"domain_scores_codex":[0.9947795,0.002430905,0.0003472672,0.00146582,0.0008639994,0.000112613],"domain_scores_gemma":[0.9938881,0.002714669,0.001316131,0.001056951,0.000920454,0.0001038164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008555329,0.00008307199,0.9087152,0.0004304401,0.00289643,0.0001561002,0.0007828008,0.003565057,0.01004754,0.000891705,0.001890951,0.06968525],"study_design_scores_gemma":[0.00002843758,0.0003143261,0.9857321,0.00009100842,0.0003750813,0.0006163217,0.0002018652,0.003657829,0.003251174,0.001847078,0.003841947,0.00004280344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386433,0.01090806,0.04170632,0.0002128403,0.0001585736,0.00009390585,0.004773121,0.000287384,0.003216676],"genre_scores_gemma":[0.9930801,0.0004104285,0.004176214,0.0000639561,0.00004782814,0.00006159508,0.001776446,0.00002651456,0.0003570517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006832922,"threshold_uncertainty_score":0.03613639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5001459244035044,"score_gpt":0.4494453898828237,"score_spread":0.05070053452068068,"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."}}