{"id":"W4406209861","doi":"10.1002/alz.083704","title":"Harmonization of diffusion MRI measures is crucial for white matter tract normative assessment in ADNI","year":2024,"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":"Université de Sherbrooke","funders":"","keywords":"Normative; Diffusion MRI; Harmonization; White matter; Diffusion; Psychology; Medicine; Magnetic resonance imaging; Political science; Radiology; Physics; Law","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":[0.02329139,0.001006111,0.001290002,0.002258081,0.001463286,0.00368861,0.001943777,0.00106079,0.004287406],"category_scores_gemma":[0.06821879,0.0006598014,0.0009638012,0.003083806,0.001291619,0.001817586,0.003148024,0.001012062,0.004170987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006239631,"about_ca_system_score_gemma":0.002155564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004154366,"about_ca_topic_score_gemma":0.006853728,"domain_scores_codex":[0.9854292,0.005664594,0.002012877,0.004020067,0.002435287,0.0004379211],"domain_scores_gemma":[0.9787128,0.003611001,0.001957875,0.009920472,0.005457405,0.0003404429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002228636,0.0005933995,0.2985383,0.001717155,0.002557799,0.0005566329,0.004048071,0.02115006,0.02830294,0.01786708,0.1645623,0.4578778],"study_design_scores_gemma":[0.0008334449,0.0008325592,0.5579593,0.0012142,0.001625829,0.003489056,0.003103956,0.0791411,0.04339995,0.06636731,0.2416459,0.0003874223],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4539851,0.003430034,0.4681185,0.001959079,0.0006244562,0.002822005,0.03803586,0.009490304,0.02153457],"genre_scores_gemma":[0.6306263,0.0006455389,0.2907138,0.0007185323,0.0002741097,0.004127229,0.06556354,0.004617424,0.002713604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02329139,"threshold_uncertainty_score":0.1231781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06404005221395062,"score_gpt":0.3724719858851196,"score_spread":0.3084319336711689,"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."}}