{"id":"W2977818282","doi":"10.2196/15193","title":"Improving Patient Access to Diabetic Retinopathy Screening Through Telemedicine","year":2019,"lang":"en","type":"article","venue":"Iproceedings","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetic retinopathy; Workflow; Telemedicine; Best practice; Quality management; Medical emergency; Health care; Family medicine; Diabetes mellitus; Computer science; Operations management; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002344077,0.0002208476,0.0004600029,0.0001971819,0.00009816144,0.0001132208,0.0002051782,0.0000629329,0.000229299],"category_scores_gemma":[0.000361235,0.0001774951,0.0001275528,0.0007105037,0.00004065796,0.0003500998,0.0001806458,0.0002804919,0.0002019437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005777097,"about_ca_system_score_gemma":0.0000318172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002283582,"about_ca_topic_score_gemma":6.249701e-7,"domain_scores_codex":[0.9981112,0.000007321336,0.0003730814,0.0005162394,0.0005305331,0.0004615673],"domain_scores_gemma":[0.9990357,0.00003810865,0.0001501444,0.0002426623,0.0002956754,0.0002377206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002682772,0.0001287548,0.6645157,0.0006138697,0.0001228165,0.00006137387,0.003886291,0.00001780898,0.2082583,0.00008748285,0.008791213,0.1132481],"study_design_scores_gemma":[0.01171421,0.009589928,0.2952773,0.009791735,0.002779785,0.0007640455,0.01909469,0.02375516,0.4771496,0.0007205657,0.1458025,0.003560441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813879,0.0001438846,0.001280372,0.005451792,0.0001891382,0.0004792603,0.000001701891,0.000162327,0.01090365],"genre_scores_gemma":[0.9870515,0.00001214949,0.005608451,0.005831658,0.0003183517,0.0000255586,0.000009115355,0.00004446186,0.001098721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3692385,"threshold_uncertainty_score":0.7238039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753329209889271,"score_gpt":0.2889229286521618,"score_spread":0.2713896365532691,"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."}}