{"id":"W7074072862","doi":"","title":"Diffusion-tensor imaging at 3 T - Detection of white matter alterations in neurological patients on the basis of normal values","year":2007,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White matter; Fractional anisotropy; Diffusion MRI; Confidence interval; Diffusion imaging; Anisotropy; Spatial normalization; Isotropy; Magnetic resonance imaging","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":[0.001099996,0.0004704462,0.0002743262,0.001108401,0.0002046626,0.0004280613,0.0002472706,0.000329271,0.0007686474],"category_scores_gemma":[0.004148278,0.000109423,0.0002351412,0.0003327965,0.0003681296,0.0003669266,0.0002816944,0.0002869082,0.0001827189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003001435,"about_ca_system_score_gemma":0.0003468462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002489876,"about_ca_topic_score_gemma":0.002679664,"domain_scores_codex":[0.9997349,0.00007808785,0.00003818309,0.00005634465,0.00006658221,0.0000258393],"domain_scores_gemma":[0.9993474,0.0001690767,0.000213119,0.00005136717,0.0001523884,0.00006663147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001793139,0.000138468,0.8456782,0.0001397744,0.0001975406,0.001865998,0.0008076014,0.001499468,0.09607299,0.0004002086,0.000967418,0.05043922],"study_design_scores_gemma":[0.00005750521,0.0004056454,0.9690039,0.00002770492,0.00007083367,0.00397728,0.000187263,0.009392394,0.01573553,0.0006089993,0.000508631,0.00002439086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945491,0.0001716268,0.004227756,0.00007053558,0.000005502956,0.00003855676,0.0002078422,0.00006630945,0.0006628537],"genre_scores_gemma":[0.995339,0.00006027342,0.004307773,0.0000116701,0.000006873276,0.0000211606,0.0001498825,0.000007708592,0.00009551198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002489876,"threshold_uncertainty_score":0.005817354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474593932125867,"score_gpt":0.2366414716413514,"score_spread":0.2218955323200927,"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."}}