{"id":"W1216683397","doi":"","title":"The use of Optical Coherence Tomography and the Multi–focal Electroretinogram to Distinguish Optic Neuritis from Retinopathies","year":2004,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal and Optic Conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Optic neuritis; Optical coherence tomography; Ophthalmology; Medicine; Coherence (philosophical gambling strategy); Tomography; Optic nerve diseases; Optometry; Optics; Physics; Optic nerve; Multiple sclerosis; Radiology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006907099,0.0001970548,0.0003404186,0.00009857934,0.0007158656,0.000118328,0.0003595237,0.00007420509,0.00001393444],"category_scores_gemma":[0.006623735,0.0001113276,0.00008593031,0.00109691,0.02296177,0.0001288835,0.0002548825,0.0003894649,0.00000757251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004281813,"about_ca_system_score_gemma":0.0003267361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007348364,"about_ca_topic_score_gemma":0.00002466741,"domain_scores_codex":[0.9979931,0.000167167,0.0003819356,0.0005118808,0.0004608941,0.0004850721],"domain_scores_gemma":[0.9973791,0.001404304,0.0001393648,0.0003125586,0.0003829069,0.0003818148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001279967,0.0006388507,0.2613019,0.00004786159,0.0001456537,0.001095958,0.007055678,0.00008601744,0.68014,0.04488319,0.00007329355,0.003251638],"study_design_scores_gemma":[0.00180179,0.002635199,0.8712651,0.0003017425,0.0001293994,0.001333242,0.0007457962,0.0007234902,0.1025305,0.01820856,0.00007100127,0.0002542241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939834,0.0001553013,0.00004944696,0.004738857,0.0001164582,0.0006313896,0.00001656159,0.00002690418,0.0002816524],"genre_scores_gemma":[0.9840304,0.00001269265,0.01535578,0.0004067838,0.00005149493,0.00008438286,0.000004763054,0.000009359972,0.00004430445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6099632,"threshold_uncertainty_score":0.9796972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0462931680359808,"score_gpt":0.3283041236763434,"score_spread":0.2820109556403626,"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."}}