{"id":"W4389682341","doi":"10.1007/s00415-023-12075-5","title":"Peering further into the mind’s eye: combining visual evoked potential and optical coherence tomography measures enhances insight into the variance in cognitive functioning in multiple sclerosis","year":2023,"lang":"en","type":"article","venue":"Journal of Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Cognition; Audiology; Psychology; Visual acuity; Nerve fiber layer; Optical coherence tomography; Neuroscience; Optic neuritis; Multiple sclerosis; Medicine; Ophthalmology; Optic nerve","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001487382,0.0001685373,0.0004233755,0.0004536082,0.0002277068,0.00005375367,0.0001818722,0.0001009569,0.00001748828],"category_scores_gemma":[0.002708039,0.0001012485,0.00009363888,0.0008143013,0.0005938948,0.0001563852,0.0002066241,0.00109136,0.000004296788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002777251,"about_ca_system_score_gemma":0.00008086433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001677593,"about_ca_topic_score_gemma":0.0009160817,"domain_scores_codex":[0.9977964,0.0004893274,0.0005311723,0.0002625755,0.000544469,0.0003760432],"domain_scores_gemma":[0.9975915,0.001732563,0.0001967888,0.0001126776,0.0002730136,0.00009343233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004281792,0.0002715582,0.5733307,0.00005018298,0.0003038009,0.0004299081,0.03694849,0.0008986234,0.3267062,0.000008024505,0.00007075997,0.05669993],"study_design_scores_gemma":[0.002987939,0.001095503,0.9848447,0.0002521932,0.00004613342,0.00005352447,0.003081961,0.005360235,0.001987634,0.00005757292,0.0001428957,0.00008967685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890136,0.001013329,0.0002285619,0.009039157,0.0003161391,0.0003088521,6.075685e-7,0.00001162452,0.00006808889],"genre_scores_gemma":[0.9982588,0.001011982,0.0001145869,0.0003655993,0.0001790292,0.00003775234,8.219162e-7,0.00001697179,0.00001448625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.411514,"threshold_uncertainty_score":0.4741475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06158850890515433,"score_gpt":0.3205241897197037,"score_spread":0.2589356808145494,"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."}}