{"id":"W2985405695","doi":"10.1089/tmj.2019.0170","title":"Philadelphia Telemedicine Glaucoma Detection and Follow-Up Study: Cataract Classifications Following Eye Screening","year":2019,"lang":"en","type":"article","venue":"Telemedicine Journal and e-Health","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"National Center for Chronic Disease Prevention and Health Promotion","keywords":"Cataracts; Medicine; Glaucoma; Telemedicine; Eye examination; Ophthalmology; Population; Visual impairment; Diabetes mellitus; Visual acuity; Optometry; Health care; Environmental health","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":[0.0008388174,0.0002732732,0.0002515636,0.001348704,0.0004932195,0.0006710149,0.0005676556,0.0006816484,0.002313142],"category_scores_gemma":[0.002621857,0.0002907185,0.0004600206,0.001477686,0.0002168941,0.0009923904,0.0009185825,0.0006947914,0.000493934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004153172,"about_ca_system_score_gemma":0.0004004628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120677,"about_ca_topic_score_gemma":0.01508565,"domain_scores_codex":[0.9991894,0.0001903451,0.0001120386,0.0001935061,0.0002101634,0.0001045415],"domain_scores_gemma":[0.996814,0.0002985197,0.001923681,0.0001799304,0.0003711637,0.0004127771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007596512,0.00004577227,0.9989009,0.00000804917,0.00002367548,0.00003088006,0.00005789834,0.00001012521,0.00005872811,0.000004235179,0.0002123905,0.0005713206],"study_design_scores_gemma":[0.00001901469,0.00008551044,0.9994687,0.000006369895,0.00001652945,0.0001113945,0.00009545467,0.00005703997,0.00002399729,0.000006004788,0.0001080347,0.000001892376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967219,0.000200994,0.00009368014,0.00009600217,0.0000132793,0.00007800107,0.002025584,0.000004597534,0.0007658462],"genre_scores_gemma":[0.997838,0.00007325653,0.0001702237,0.0000878604,0.00001877773,0.00007632133,0.001479349,0.000002569909,0.0002536575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01120677,"threshold_uncertainty_score":0.02228308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925950789390508,"score_gpt":0.3224348403265906,"score_spread":0.2931753324326856,"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."}}