{"id":"W4392082539","doi":"10.32920/25266655.v1","title":"DTI Metrics Correlation to FLAIR Biomarkers, Cognition, and Neurodegenerative Diseases","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fluid-attenuated inversion recovery; Diffusion MRI; Correlation; Cognition; Fractional anisotropy; Dementia; Cognitive impairment; Internal medicine; Neuroscience; Medicine; Psychology; Biomarker; Cardiology; Audiology; Radiology; Magnetic resonance imaging; Biology; Disease; Mathematics","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":[0.001485887,0.0009148111,0.0005111093,0.002683463,0.000213555,0.00136655,0.0003276077,0.0004819627,0.001439274],"category_scores_gemma":[0.004790004,0.000181993,0.0004489766,0.0015096,0.0005275682,0.000715378,0.0006598649,0.0004534726,0.0004239068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681995,"about_ca_system_score_gemma":0.0007179928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495004,"about_ca_topic_score_gemma":0.002943144,"domain_scores_codex":[0.9996098,0.0001008441,0.00004511936,0.0001119515,0.0001006555,0.00003163687],"domain_scores_gemma":[0.998798,0.0002740011,0.000425483,0.000159961,0.0002627191,0.00007986733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006978295,0.0002011292,0.4381996,0.0008559749,0.001422866,0.0009182884,0.0007018952,0.01764182,0.1485552,0.01210458,0.004839577,0.3738613],"study_design_scores_gemma":[0.00005221856,0.0008909132,0.7497705,0.0001553002,0.000520883,0.003374105,0.0003312558,0.150647,0.05836628,0.02459132,0.01113994,0.000160319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7346021,0.008346871,0.2407716,0.001156699,0.0003532988,0.0003421542,0.002727628,0.001037269,0.01066233],"genre_scores_gemma":[0.9458274,0.0008584472,0.05075451,0.0000729038,0.0001160777,0.0000876678,0.0005814771,0.0000618053,0.001639787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002683463,"threshold_uncertainty_score":0.007858217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07290672667454942,"score_gpt":0.3706102512596073,"score_spread":0.2977035245850579,"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."}}