{"id":"W2981258327","doi":"10.1016/j.jalz.2019.06.1047","title":"P1‐442: WHITE MATTER HYPERINTENSITIES AND COGNITIVE DECLINE IN FRONTO‐TEMPORAL DEMENTIA VARIANTS","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Frontotemporal dementia; Hyperintensity; Cohort; Psychology; Semantic dementia; Dementia; Boston Naming Test; Neuroimaging; Fluid-attenuated inversion recovery; Audiology; Cognitive decline; Neuropsychology; Frontotemporal lobar degeneration; Cognition; Cardiology; Medicine; Neuroscience; Magnetic resonance imaging; Internal medicine; Disease; Radiology","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":[0.0007836873,0.001012086,0.0008116033,0.0009306499,0.001342939,0.001503838,0.0009105808,0.0009692924,0.01149129],"category_scores_gemma":[0.002342357,0.0004464124,0.001448582,0.001468179,0.0003309623,0.0005527952,0.001176354,0.001143152,0.001598876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004273374,"about_ca_system_score_gemma":0.000526447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01836306,"about_ca_topic_score_gemma":0.01957322,"domain_scores_codex":[0.9995018,0.00006239279,0.00003762062,0.000274202,0.00005774034,0.00006610386],"domain_scores_gemma":[0.9995192,0.00009606342,0.0001576,0.00007185321,0.00006252689,0.00009265319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0137266,0.0004553662,0.9077983,0.0006257368,0.003452356,0.003121478,0.0008436964,0.0023049,0.008770566,0.0009484124,0.02531913,0.03263357],"study_design_scores_gemma":[0.0002401947,0.0002705134,0.9839709,0.00008848649,0.0009824452,0.003246743,0.0001775045,0.002731703,0.0009331119,0.001690124,0.005632338,0.00003597347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971368,0.0007919478,0.001289223,0.0002206862,0.00003961729,0.00006424869,0.02424747,0.0001806095,0.001798073],"genre_scores_gemma":[0.9682962,0.0002140291,0.001677108,0.0001049339,0.00004977511,0.0001910424,0.0267098,0.0001510297,0.002606178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01836306,"threshold_uncertainty_score":0.03844219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010040867593105,"score_gpt":0.2593049508051541,"score_spread":0.2292045421292231,"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."}}