{"id":"W4312087161","doi":"10.1002/alz.067924","title":"TRIAD multi‐dimensional biobank for biomarker discovery","year":2022,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas Mental Health University Institute; McGill University; McGill University Health Centre","funders":"","keywords":"Biobank; Biomarker; Cohort; Dementia; Medicine; Cohort study; Biomarker discovery; Oncology; Urine; Internal medicine; Disease; Bioinformatics; 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":[0.01103865,0.000937007,0.001317731,0.006962813,0.001224946,0.004347335,0.002858425,0.001360261,0.01990256],"category_scores_gemma":[0.02446372,0.0004914974,0.0008770252,0.007923678,0.0006018488,0.002708429,0.004753275,0.001415137,0.01646324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777082,"about_ca_system_score_gemma":0.00587478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003741673,"about_ca_topic_score_gemma":0.002907638,"domain_scores_codex":[0.9917802,0.001884454,0.00175634,0.001979282,0.002163395,0.0004364142],"domain_scores_gemma":[0.9764493,0.002599351,0.004005447,0.007924035,0.007261698,0.001760137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003545125,0.0007165874,0.09576238,0.002055993,0.0005673627,0.0008445057,0.0005689503,0.003202643,0.008131274,0.02177054,0.6415983,0.2212363],"study_design_scores_gemma":[0.0004280988,0.0004513082,0.0927966,0.00111659,0.0003825457,0.001488609,0.0005697556,0.01107127,0.01104987,0.02368267,0.8567629,0.0001996794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03476929,0.003967121,0.06658726,0.004633719,0.0007455414,0.003297099,0.8571721,0.007564198,0.02126373],"genre_scores_gemma":[0.08952728,0.001785808,0.1119862,0.002473136,0.0008092796,0.007248838,0.7776672,0.0006654286,0.007836916],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01990256,"threshold_uncertainty_score":0.06658071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784395397338416,"score_gpt":0.3227765898987711,"score_spread":0.284932635925387,"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."}}