{"id":"W2137058733","doi":"10.1002/jmri.21926","title":"Detecting lesions in multiple sclerosis at 4.7 tesla using phase susceptibility‐weighting and T2‐weighting","year":2009,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fondation pour la Recherche Médicale; Multiple Sclerosis Society; Multiple Sclerosis Society of Canada","keywords":"Susceptibility weighted imaging; Multiple sclerosis; Voxel; Weighting; Phase imaging; Nuclear medicine; Medicine; Fast spin echo; Quantitative susceptibility mapping; Neuroradiologist; Magnetic resonance imaging; Radiology; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001897536,0.0002951597,0.0007272313,0.0005570967,0.0004552057,0.00009527353,0.000181082,0.00006608567,0.00006446904],"category_scores_gemma":[0.004604318,0.0002512851,0.0001744365,0.0005661317,0.000230553,0.0003952695,0.0001909554,0.0007705008,0.000002110753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004771388,"about_ca_system_score_gemma":0.0001264083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009159549,"about_ca_topic_score_gemma":0.00005249063,"domain_scores_codex":[0.9966722,0.0001931604,0.001183907,0.0004287208,0.0007650289,0.0007569741],"domain_scores_gemma":[0.997695,0.000819958,0.0004860185,0.0002982602,0.0003998434,0.000300911],"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":[0.0002502643,0.0001570206,0.2153867,0.00004198364,0.000005252713,0.0001369578,0.0005684018,0.00002068285,0.3684883,9.055054e-7,0.00005309723,0.4148905],"study_design_scores_gemma":[0.01051776,0.0008202849,0.8891717,0.003523386,0.00008048702,0.0007539721,0.001347569,0.07481553,0.01766966,0.0000509973,0.000921929,0.000326705],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694782,0.02820838,0.0001894192,0.001374111,0.0000881008,0.0003604324,0.000003662983,0.00002426954,0.0002734418],"genre_scores_gemma":[0.9741229,0.001694762,0.02357676,0.0002060143,0.0002994221,0.000003231277,6.083253e-7,0.00003111275,0.00006523113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.673785,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07874703061601757,"score_gpt":0.336996733906252,"score_spread":0.2582497032902344,"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."}}