{"id":"W4280591566","doi":"10.1016/j.ophtha.2022.03.010","title":"Reply","year":2022,"lang":"en","type":"letter","venue":"Ophthalmology","topic":"Cerebral Venous Sinus Thrombosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Visual acuity; Papilledema; Visual field; Blind spot; Ophthalmology; Optometry; Artificial intelligence","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":[0.002526162,0.00106263,0.001518575,0.00135047,0.006314358,0.006739848,0.002287774,0.08328588,0.02069501],"category_scores_gemma":[0.0234047,0.001103985,0.001633695,0.001051963,0.002615934,0.00318839,0.003106478,0.04245811,0.01463347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005147947,"about_ca_system_score_gemma":0.005310535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040588,"about_ca_topic_score_gemma":0.01495681,"domain_scores_codex":[0.9971845,0.000531024,0.0003208374,0.0004160583,0.0007507377,0.0007969501],"domain_scores_gemma":[0.9931084,0.002752596,0.0006284333,0.0002778698,0.001640291,0.001592424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002742157,0.00001279574,0.0005140404,0.00003379636,0.00001676625,0.002571425,0.0001304146,0.0000281432,0.00008179396,0.0009369789,0.9932415,0.002405043],"study_design_scores_gemma":[0.00008618865,0.0000369516,0.001470042,0.0002692649,0.00005465985,0.003007557,0.0007679522,0.0001997924,0.0001716477,0.004046983,0.9898179,0.00007118031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000427922,0.001161564,0.00006764108,0.9426442,0.04920054,0.0000260444,0.00007088271,0.00003388319,0.00636717],"genre_scores_gemma":[0.002305893,0.0005143616,0.00008034832,0.9607645,0.02296863,0.00003974895,0.0000288328,0.00001876029,0.01327887],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08328588,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03946561205365223,"score_gpt":0.3019085887875029,"score_spread":0.2624429767338507,"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."}}