{"id":"W2883501862","doi":"10.2147/eb.s139417","title":"Retinal imaging with optical coherence tomography: a biomarker in multiple sclerosis?","year":2018,"lang":"en","type":"review","venue":"Eye and Brain","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multiple sclerosis; Nerve fiber layer; Medicine; Subclinical infection; Optical coherence tomography; Magnetic resonance imaging; Retinal; Neuroscience; Optic nerve; Biomarker; Retina; Inner plexiform layer; Disease; Pathology; Ophthalmology; Radiology; Biology; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002119731,0.0007815817,0.002433047,0.002879501,0.0002171248,0.001773939,0.0007735039,0.00162212,0.001148544],"category_scores_gemma":[0.004612514,0.0002858284,0.0007441191,0.002187514,0.0008583561,0.002236646,0.0006047976,0.001365597,0.000550182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006129453,"about_ca_system_score_gemma":0.0008817473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008709843,"about_ca_topic_score_gemma":0.001235046,"domain_scores_codex":[0.9989848,0.0003124083,0.0002737258,0.0001180579,0.0002760669,0.00003487352],"domain_scores_gemma":[0.9971166,0.001612385,0.0005569536,0.00004563725,0.0006021318,0.00006622203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002924147,0.00005083515,0.002725643,0.04567866,0.0006388254,0.0004072806,0.0001310989,0.0001418562,0.002227983,0.001929475,0.01840966,0.9273663],"study_design_scores_gemma":[0.0001635996,0.000921574,0.0248053,0.09160895,0.004484938,0.01194795,0.0006197575,0.0007132203,0.003513408,0.006916144,0.8540792,0.0002259857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001694821,0.9987029,0.0000850417,0.0007440129,0.0001558904,0.000003131761,0.00001012002,0.000002413837,0.000126968],"genre_scores_gemma":[0.002597867,0.9954607,0.0004198912,0.0007933684,0.0006071335,0.00001386556,0.00002329132,0.000001788466,0.00008199938],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002879501,"threshold_uncertainty_score":0.01121038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145778633924638,"score_gpt":0.3611932536263036,"score_spread":0.2466153902338397,"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."}}