{"id":"W4207081629","doi":"10.3233/jad-215447","title":"An Automated Toolbox to Predict Single Subject Atrophy in Presymptomatic Granulin Mutation Carriers","year":2022,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Occupational Cancer Research Centre; Health Sciences Centre; McGill University Health Centre; Sunnybrook Health Science Centre; McGill University; University of Toronto; Montreal Neurological Institute and Hospital; Université Laval","funders":"Medical Research Council; Vetenskapsrådet; EU Joint Programme – Neurodegenerative Disease Research; Stockholms Läns Landsting; Karolinska Institutet; Brain Research UK","keywords":"Magnetic resonance imaging; Frontotemporal dementia; Atrophy; Medicine; Nuclear medicine; Internal medicine; Radiology; Dementia; Disease","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":[0.002244626,0.001153502,0.0005976389,0.001212483,0.0001758088,0.0005217651,0.000596848,0.0005588674,0.008351371],"category_scores_gemma":[0.008821389,0.0003210681,0.0005523623,0.0003077777,0.0002128064,0.0004591551,0.00065261,0.0003313617,0.001606075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00031958,"about_ca_system_score_gemma":0.0005935302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071713,"about_ca_topic_score_gemma":0.003250413,"domain_scores_codex":[0.9994051,0.0002626425,0.00004453022,0.0001842146,0.00007401055,0.00002949332],"domain_scores_gemma":[0.996812,0.00209074,0.0004577802,0.0001985197,0.000319726,0.0001211593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008640393,0.0009868678,0.2073505,0.0005769603,0.0009532527,0.0009138903,0.0005818299,0.06354368,0.02629757,0.001344565,0.013535,0.6752755],"study_design_scores_gemma":[0.0004353077,0.001283568,0.1487365,0.00008650002,0.0002372261,0.001289943,0.0001061649,0.8287001,0.01200749,0.003105883,0.003903152,0.0001082277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5008423,0.0003579339,0.4600838,0.000268303,0.00008910163,0.0006718481,0.006502733,0.0288773,0.002306647],"genre_scores_gemma":[0.7691147,0.0001220046,0.2234035,0.0001085533,0.00003877577,0.0009735133,0.003550206,0.0005304441,0.002158288],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008351371,"threshold_uncertainty_score":0.02793807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559010921537242,"score_gpt":0.321829425234015,"score_spread":0.2962393160186426,"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."}}