{"id":"W3201550322","doi":"10.15353/cjo.v83i3.1354","title":"Hemorrhagic stroke: a diagnosis guided by visual field findings","year":2021,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Cerebral Venous Sinus Thrombosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visual field; Stroke (engine); Medicine; Hemianopsia; Referral; Radiology; Ophthalmology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001714084,0.0007757793,0.002231287,0.00757315,0.0005732769,0.0005771082,0.001114533,0.0007256321,0.009305855],"category_scores_gemma":[0.00366691,0.0007879148,0.001337369,0.004968214,0.0003755952,0.0008974779,0.00005227664,0.002633589,0.00008867242],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003456355,"about_ca_system_score_gemma":0.01952708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006534279,"about_ca_topic_score_gemma":0.003602993,"domain_scores_codex":[0.9930362,0.0002643823,0.002618286,0.0005390897,0.001506155,0.002035884],"domain_scores_gemma":[0.9837987,0.0006253894,0.001431417,0.0006204791,0.003443857,0.01008014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006488179,0.0001395943,0.795257,0.0001504957,0.0009854919,0.009858164,0.000404248,0.00002145961,0.00153898,0.000003517482,0.1900794,0.001496823],"study_design_scores_gemma":[0.006651216,0.002752945,0.849193,0.002139334,0.001751614,0.05240314,0.002704991,0.00006101771,0.04484559,0.00000779729,0.03611231,0.001377018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706826,0.01085387,0.0003577055,0.01254342,0.002618218,0.0002714214,0.0003490164,0.00001265252,0.002311141],"genre_scores_gemma":[0.9887952,0.0004625981,0.00357059,0.004228051,0.00120768,0.000004139595,0.00003003478,0.000173038,0.001528666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1539671,"threshold_uncertainty_score":0.9996673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521354417495116,"score_gpt":0.322704798070709,"score_spread":0.3074912538957578,"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."}}