{"id":"W815854075","doi":"","title":"Visual Field Change in Glaucoma for Standard Automated Perimetry versus Frequency Doubling Matrix Perimetry","year":2012,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Glaucoma; Visual field; Ophthalmology; Optometry; Medicine; Visual field loss","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":[0.003725478,0.0004138348,0.001192142,0.001635785,0.0003148186,0.0009910304,0.0006552971,0.001254499,0.003870145],"category_scores_gemma":[0.01992396,0.0001754385,0.001323943,0.000943616,0.0006823702,0.001899918,0.0007539066,0.0007853923,0.0003859107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008631957,"about_ca_system_score_gemma":0.0004611019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003022899,"about_ca_topic_score_gemma":0.00417707,"domain_scores_codex":[0.997948,0.0006546331,0.0002043329,0.0003351882,0.0006212161,0.0002365344],"domain_scores_gemma":[0.982605,0.01365905,0.001346965,0.0006753263,0.001063235,0.0006504182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1706093,0.000958598,0.7617568,0.0002986669,0.00139124,0.001111678,0.0003273826,0.001988889,0.00981274,0.0005512982,0.001664397,0.04952898],"study_design_scores_gemma":[0.0006950291,0.008470273,0.9802651,0.00004517532,0.0005622109,0.0009619253,0.0002500823,0.005894432,0.001799541,0.0004520771,0.0005548428,0.00004933502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967812,0.0009179533,0.0003424506,0.00008856326,0.00009584358,0.00001960081,0.0002666995,0.00002076968,0.001466847],"genre_scores_gemma":[0.9992505,0.0000809375,0.0001588921,0.00003440752,0.00003129392,0.000007669847,0.0001452377,0.000009193712,0.0002818054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003870145,"threshold_uncertainty_score":0.01970249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05912090353964954,"score_gpt":0.4145784335477915,"score_spread":0.355457530008142,"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."}}