{"id":"W4205123115","doi":"10.1002/alz.053497","title":"A data‐driven disease progression model of fluid biomarkers in genetic FTD","year":2021,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Western University; Sunnybrook Health Science Centre; Occupational Cancer Research Centre; Université Laval; Montreal Neurological Institute and Hospital; University of Toronto; Hôpital de l'Enfant-Jésus","funders":"","keywords":"Biomarker; Frontotemporal dementia; Medicine; C9orf72; Disease; Pathology; Dementia; Oncology; Biology; Genetics","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":[0.005414876,0.00126637,0.001719074,0.001320954,0.0004747751,0.001455936,0.002098694,0.002078566,0.003915668],"category_scores_gemma":[0.01442194,0.001131559,0.001728354,0.0006948684,0.001407094,0.001068118,0.001289372,0.0022515,0.0005224397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724508,"about_ca_system_score_gemma":0.001153132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03097998,"about_ca_topic_score_gemma":0.0139403,"domain_scores_codex":[0.9987872,0.0005831034,0.00005577408,0.0003417679,0.00006545041,0.0001666603],"domain_scores_gemma":[0.9888804,0.008930053,0.0009737752,0.0003006365,0.0005609736,0.0003541554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002469932,0.000063179,0.01487356,0.00004746876,0.0001470036,0.0002075901,0.0001386132,0.9722865,0.0003720102,0.007009898,0.0004419188,0.004165268],"study_design_scores_gemma":[0.00003143724,0.00003973562,0.001633561,0.00001155486,0.00002425953,0.0000374152,0.00001575504,0.9942339,0.00006655607,0.00372701,0.0001652019,0.00001357104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7317241,0.0007849911,0.2589413,0.00195669,0.00009957369,0.0001856979,0.003087885,0.0004302041,0.002789498],"genre_scores_gemma":[0.9843857,0.0001512878,0.01002348,0.0001369698,0.00002441368,0.0001876594,0.001309328,0.00003433574,0.003746932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03097998,"threshold_uncertainty_score":0.06159931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08442416154843795,"score_gpt":0.3511902476328715,"score_spread":0.2667660860844336,"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."}}