{"id":"W4414168204","doi":"10.1016/j.mri.2025.110522","title":"Correction of orientation dependence in magnetization transfer measures in the context of tractometry: Challenges, pitfalls and solutions","year":2025,"lang":"en","type":"article","venue":"Magnetic Resonance Imaging","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Philips (Canada); CARE Canada; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Université de Sherbrooke","keywords":"Orientation (vector space); Context (archaeology); Magnetization; Variance (accounting); Diffusion; Work (physics); Polynomial; Measure (data warehouse)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003086065,0.00007904159,0.0001620718,0.0002613203,0.00003046194,0.000006322484,0.00007508718,0.00002718911,0.000004562075],"category_scores_gemma":[0.0001548022,0.00006937427,0.00002290924,0.0006173459,0.0001196309,0.00008508476,0.00001312875,0.0001520384,1.523487e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002888008,"about_ca_system_score_gemma":0.00003783364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002028366,"about_ca_topic_score_gemma":0.0001868785,"domain_scores_codex":[0.9991545,0.00006118353,0.0003092712,0.0001975572,0.0001552167,0.0001222579],"domain_scores_gemma":[0.9995152,0.0001592118,0.00004238405,0.0001898369,0.00008042785,0.0000129832],"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":[0.00007562558,0.0001941481,0.07740949,0.00008975284,0.000001112824,0.000003778629,0.001311412,0.00002059892,0.01645085,0.01391465,0.00008285019,0.8904457],"study_design_scores_gemma":[0.0009678726,0.0001045139,0.9777952,0.0004984848,0.00002732881,0.00001924532,0.00163072,0.00627315,0.005286116,0.001496854,0.005824538,0.00007593358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8135433,0.1086938,0.0570331,0.01112189,0.0001956599,0.002320825,0.00001700117,0.00008363186,0.006990793],"genre_scores_gemma":[0.9934435,0.005396912,0.0008459188,0.000156899,0.000005772405,0.00007539595,0.00000387285,0.000006137606,0.00006562783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9003857,"threshold_uncertainty_score":0.2829001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04497411306941035,"score_gpt":0.3230898056104971,"score_spread":0.2781156925410868,"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."}}