{"id":"W4225342687","doi":"10.1371/journal.pone.0266380","title":"Outreach screening to address demographic and economic barriers to diabetic retinopathy care in rural China","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ulverscroft Foundation; Bayer","keywords":"Outreach; Medicine; Population; Referral; Diabetic retinopathy; Cohort; Diabetes mellitus; Cohort study; Gerontology; Demography; Family medicine; Internal medicine; Environmental health; Endocrinology","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":[0.001359186,0.0002750579,0.0001637618,0.0006103855,0.0004766388,0.0003671028,0.0004728691,0.00019874,0.0009007405],"category_scores_gemma":[0.002277385,0.0001253625,0.0002499915,0.0004838753,0.0003381656,0.0003824999,0.0005960171,0.0002315729,0.00004275538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262715,"about_ca_system_score_gemma":0.003751259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03974065,"about_ca_topic_score_gemma":0.04189535,"domain_scores_codex":[0.9995473,0.0001789514,0.00001947466,0.00005216732,0.00005785618,0.0001442244],"domain_scores_gemma":[0.9991103,0.0001370789,0.0002967329,0.00003864087,0.00009858893,0.0003186228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001145655,0.0003634939,0.9635481,0.0001542938,0.0000489159,0.0001791596,0.001042554,0.0005292697,0.001417072,0.000231489,0.0006060968,0.03176511],"study_design_scores_gemma":[0.00005557546,0.0003794483,0.9954868,0.00005462594,0.00003852707,0.0001045825,0.0009561845,0.001831764,0.0002367445,0.0001790268,0.0006697198,0.000007093585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987336,0.0001795148,0.0001877348,0.0003407058,0.000006309403,0.00004556063,0.00004480435,0.000007586107,0.0004541901],"genre_scores_gemma":[0.9994255,0.0001163089,0.0001730334,0.00007773525,0.000005521749,0.00002237804,0.00003652231,9.206356e-7,0.0001421052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03974065,"threshold_uncertainty_score":0.07901865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466996490628655,"score_gpt":0.2365614828654235,"score_spread":0.221891517959137,"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."}}