{"id":"W2981131390","doi":"10.1016/j.jalz.2019.06.2813","title":"P2‐406: INVESTIGATING THE SENSITIVITY OF FREE‐WATER IMAGING IN DETECTING WHITE‐MATTER ABNORMALITIES WITHIN PATIENTS WITH ALZHEIMER'S DISEASE","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diffusion MRI; White matter; Fractional anisotropy; Corpus callosum; Splenium; Superior longitudinal fasciculus; Inferior longitudinal fasciculus; Nuclear magnetic resonance; Psychology; Magnetic resonance imaging; Medicine; Neuroscience; Audiology; Nuclear medicine; Physics; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001342808,0.0005338448,0.0003526542,0.0006625582,0.0004593736,0.0007205448,0.0003615997,0.001040713,0.00189447],"category_scores_gemma":[0.004387449,0.0002595829,0.000297297,0.0004291923,0.0004048455,0.0007185113,0.0006328066,0.0004276437,0.000730076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521718,"about_ca_system_score_gemma":0.0001533834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001240641,"about_ca_topic_score_gemma":0.001143289,"domain_scores_codex":[0.9996005,0.00008980471,0.00005147057,0.0001413124,0.00007283887,0.00004412734],"domain_scores_gemma":[0.9987054,0.0005026892,0.0002729513,0.0001093677,0.0001676419,0.0002418818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005438651,0.0003056515,0.9693277,0.00006353659,0.000235982,0.0005542049,0.0007354727,0.0004276278,0.01051805,0.00006566634,0.0002555368,0.01207197],"study_design_scores_gemma":[0.00006631275,0.001551522,0.9929617,0.000007403209,0.0000701548,0.001164022,0.0002964232,0.001536419,0.001640772,0.0001900147,0.0004994998,0.00001582413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992424,0.00005472535,0.0001332993,0.00002114604,0.000004566249,0.00001135446,0.0001107523,0.000007309214,0.0004144177],"genre_scores_gemma":[0.9993333,0.00002670163,0.0002366027,0.00001355539,0.000008687264,0.00001342076,0.0001558116,0.000004277916,0.0002076854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00189447,"threshold_uncertainty_score":0.007101536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256444321780954,"score_gpt":0.2713589953143164,"score_spread":0.245714563136221,"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."}}