{"id":"W3177367631","doi":"10.2196/17838","title":"Colocating Teleophthalmology Within Primary Care Settings to Improve Access to Diabetic Retinopathy Screening: Retrospective Descriptive Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetic retinopathy; Telemedicine; Referral; Reimbursement; Telehealth; Macular edema; Retrospective cohort study; Retinopathy; Optometry; Descriptive statistics; Emergency medicine; Diabetes mellitus; Medical emergency; Ophthalmology; Family medicine; Health care; Retinal; Surgery","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":[0.004286012,0.0003143325,0.0005026205,0.003964303,0.0008708913,0.001410655,0.0008442723,0.0006498453,0.001785222],"category_scores_gemma":[0.01589911,0.000635909,0.001215519,0.004366976,0.0007265897,0.001189932,0.00136988,0.0008581006,0.000472275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777162,"about_ca_system_score_gemma":0.002770863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064138,"about_ca_topic_score_gemma":0.01639201,"domain_scores_codex":[0.9947675,0.001362229,0.001136045,0.0007246839,0.001504007,0.0005054327],"domain_scores_gemma":[0.9727119,0.007149654,0.01224868,0.001714302,0.005027537,0.001147979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001856845,0.0002324124,0.9950699,0.0001354202,0.00009170578,0.0001405547,0.0004795198,0.00003327184,0.00006996844,0.00004335156,0.0003486854,0.003169741],"study_design_scores_gemma":[0.00004299914,0.001120912,0.9926395,0.0001403883,0.0001518235,0.0007197825,0.003349901,0.0002203716,0.0001583346,0.00002808744,0.001412195,0.00001580265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933507,0.0007745305,0.0004189323,0.00007780645,0.0000093899,0.0008606559,0.003403288,0.00001102672,0.001093637],"genre_scores_gemma":[0.9956387,0.0005884004,0.0007492888,0.0001983808,0.00002695066,0.0008052544,0.001768494,0.000009562226,0.0002151133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01064138,"threshold_uncertainty_score":0.02266681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07054538255899274,"score_gpt":0.4323430320499252,"score_spread":0.3617976494909325,"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."}}