{"id":"W4283159177","doi":"10.1017/cjn.2022.263","title":"Visual Fields and Ocular Coherence Tomography Predict Location of the Intracranial Lesion","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optical coherence tomography; Content (measure theory); Lesion; Medicine; Tomography; Ophthalmology; Computer science; Optometry; Radiology; Pathology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001314888,0.0004942879,0.000294562,0.001218663,0.0005209238,0.0003966862,0.0002658108,0.0009487501,0.003710855],"category_scores_gemma":[0.00110226,0.0001780802,0.0002104167,0.0005363436,0.0003054098,0.0005245656,0.0001810871,0.0009259044,0.0007861482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004569179,"about_ca_system_score_gemma":0.0005405028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007238984,"about_ca_topic_score_gemma":0.00916717,"domain_scores_codex":[0.9998997,0.000009847444,0.000007963174,0.00002035297,0.00002215179,0.00003983285],"domain_scores_gemma":[0.9996068,0.0000931511,0.00008310028,0.00002011403,0.00006653769,0.0001304392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0004678454,0.0002588497,0.3576314,0.00003617186,0.00002456661,0.6225293,0.0001748919,0.0002507178,0.007713552,0.00043541,0.002948708,0.007528705],"study_design_scores_gemma":[0.00003107292,0.0003907609,0.387153,0.00005388385,0.00003549481,0.6072613,0.0003036015,0.001366398,0.001419729,0.0003698331,0.001592802,0.00002201486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97239,0.001475696,0.0007763077,0.002387887,0.00008613483,0.00009926356,0.0006300248,0.00006778968,0.02208698],"genre_scores_gemma":[0.9977732,0.0003113259,0.000289968,0.000225714,0.00008432016,0.00001095448,0.0001465173,0.00000509453,0.001152845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007238984,"threshold_uncertainty_score":0.01439369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331270349778373,"score_gpt":0.264056936079183,"score_spread":0.2407442325813993,"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."}}