{"id":"W2171548242","doi":"10.3174/ajnr.a3283","title":"Evaluation of a Practical Visual MRI Rating Scale of Brain White Matter Hyperintensities for Clinicians Based on Largest Lesion Size Regardless of Location","year":2012,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Hyperintensity; Medicine; Rating scale; Reproducibility; Cognition; White matter; Visual analogue scale; Audiology; Montreal Cognitive Assessment; Magnetic resonance imaging; Cognitive impairment; Radiology; Physical therapy; Psychology; Psychiatry; Developmental psychology; Statistics","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":[0.005555459,0.0005250465,0.0006243908,0.001675677,0.0002824024,0.0007274266,0.0008908915,0.0007739452,0.0031219],"category_scores_gemma":[0.02111451,0.0001885046,0.0005652794,0.0006885874,0.0003803846,0.0008010093,0.0007180055,0.0003666035,0.000867301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002880517,"about_ca_system_score_gemma":0.0006014601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006950244,"about_ca_topic_score_gemma":0.002171729,"domain_scores_codex":[0.9972475,0.001168861,0.0004685132,0.000342774,0.0007060353,0.00006628937],"domain_scores_gemma":[0.9883115,0.00410198,0.002556932,0.001055056,0.003506917,0.000467654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002118618,0.0005560737,0.7567824,0.0006789425,0.0003617789,0.0002695007,0.0006188625,0.001634739,0.02036011,0.0004914792,0.008833179,0.2072943],"study_design_scores_gemma":[0.0004370181,0.002667901,0.9682557,0.0001448053,0.000177824,0.002208724,0.0006107596,0.01354882,0.008086699,0.000863508,0.002880565,0.0001177621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9173792,0.0009356749,0.06922821,0.00059249,0.0003034692,0.001699125,0.002396659,0.0006815601,0.006783619],"genre_scores_gemma":[0.9137183,0.0001978831,0.08240566,0.0001273259,0.0001161826,0.001074099,0.001205652,0.00005220747,0.001102665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005555459,"threshold_uncertainty_score":0.02938044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1209894688439421,"score_gpt":0.4572396465836188,"score_spread":0.3362501777396767,"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."}}