{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003494838,0.00017555,0.0003283845,0.0009284246,0.0006494119,0.001575702,0.0007554812,0.0005687212,0.01691926],"category_scores_gemma":[0.01916285,0.0001733797,0.0006114455,0.0009117759,0.0003121971,0.00174465,0.002137756,0.0006284147,0.0007980453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090108,"about_ca_system_score_gemma":0.002552808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003356234,"about_ca_topic_score_gemma":0.004163473,"domain_scores_codex":[0.995198,0.002443815,0.0003471354,0.0004639999,0.0007803203,0.0007668874],"domain_scores_gemma":[0.9838012,0.009178429,0.003150207,0.0007404576,0.001199658,0.001930032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001722876,0.01031654,0.4725857,0.0007030246,0.0001237602,0.0002371255,0.003794608,0.001332326,0.002040622,0.0006171522,0.01068951,0.4958367],"study_design_scores_gemma":[0.001503044,0.01792713,0.9325955,0.0006948955,0.0002657492,0.0005906005,0.007970238,0.006985019,0.003355359,0.001216904,0.02679688,0.00009869756],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976835,0.0003051691,0.001941533,0.00364735,0.00005122094,0.0008290483,0.001136607,0.0002459048,0.01500798],"genre_scores_gemma":[0.993063,0.0001867433,0.004137148,0.0006849245,0.00008455096,0.0006280458,0.0002573214,0.00001210713,0.0009460639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01691926,"threshold_uncertainty_score":0.05660057,"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."}}