{"id":"W4378590753","doi":"","title":"Proton magnetic resonance spectroscopy and cognitive impairment in patients with ischemic white matter lesions","year":2013,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proton magnetic resonance; Magnetic resonance imaging; White matter; Spectroscopy; Cognitive impairment; Nuclear magnetic resonance; Nuclear magnetic resonance spectroscopy; Proton; Cognition; Medicine; Physics; Psychiatry; Nuclear physics; Radiology; Astronomy","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":[0.0003312186,0.0005627392,0.0004789157,0.0009938026,0.0004567885,0.0004258263,0.0002447018,0.0005163008,0.001666333],"category_scores_gemma":[0.001141832,0.0001838822,0.0002231768,0.0005843053,0.0002511947,0.0003174041,0.0002913928,0.000406444,0.0003253924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867087,"about_ca_system_score_gemma":0.0002262624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237284,"about_ca_topic_score_gemma":0.001555424,"domain_scores_codex":[0.9998519,0.00002473179,0.00002653379,0.0000320639,0.000034688,0.00002995436],"domain_scores_gemma":[0.9994155,0.00007282053,0.0003065894,0.00002266247,0.00006989403,0.0001124881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004142352,0.0001273867,0.9955593,0.00002505225,0.00006081913,0.000596199,0.00006376343,0.00003567382,0.0006691582,0.00001380503,0.00009252299,0.00234205],"study_design_scores_gemma":[0.00001385401,0.000263298,0.997318,0.000007204503,0.00003718727,0.001946272,0.00006756586,0.00008335398,0.0001177789,0.00003192377,0.0001101454,0.000003496348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998879,0.0005216179,0.00003617844,0.00004922657,0.000006751623,0.00000654061,0.00007312401,0.000003966448,0.0004235317],"genre_scores_gemma":[0.9994273,0.0001735127,0.00007055433,0.00003850306,0.00002712123,0.000005117781,0.000123227,9.549386e-7,0.0001336361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001666333,"threshold_uncertainty_score":0.005574465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06458799259578181,"score_gpt":0.4825889061490597,"score_spread":0.4180009135532779,"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."}}