{"id":"W4401841736","doi":"10.1016/j.apjo.2024.100094","title":"Development and Testing of Artificial Intelligence-Based Mobile Application to Achieve Cataract Backlog-Free Status in Uttar Pradesh, India","year":2024,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Ophthalmology","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Manitoba; University of Manitoba","funders":"","keywords":"Uttar pradesh; Cataracts; Blindness; Optometry; Medicine; Environmental health; Community health workers; Population; Geography; Socioeconomics; Ophthalmology; Health services; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008400507,0.000153563,0.0004671425,0.0007451011,0.00003454915,0.00002607713,0.0001403923,0.00008947781,0.00004118199],"category_scores_gemma":[0.0003649886,0.0001283159,0.00007659699,0.0007814328,0.0001058536,0.00007791203,0.00004131372,0.0003966703,0.00001344273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198758,"about_ca_system_score_gemma":0.0004809865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007620302,"about_ca_topic_score_gemma":0.000002360924,"domain_scores_codex":[0.9982893,0.00008163678,0.0008538836,0.0002467723,0.0002505482,0.0002778411],"domain_scores_gemma":[0.9988676,0.0003020005,0.0002585322,0.0002073702,0.0001860536,0.0001784765],"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":[0.001724612,0.001264376,0.3119464,0.0009438866,0.0005479065,0.008642367,0.008716147,0.002035148,0.1089156,0.0004801296,0.0003202845,0.5544631],"study_design_scores_gemma":[0.003381743,0.02078447,0.4077706,0.007501651,0.001941287,0.1263161,0.05809809,0.03606618,0.3046255,0.0116306,0.0194751,0.002408695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939247,0.0008428085,0.002950565,0.000778636,0.0001401608,0.0002183377,0.000007801464,0.000009154199,0.001127878],"genre_scores_gemma":[0.9650034,0.00001383553,0.03477254,0.00001564802,0.00008323168,0.00001472183,0.00001435028,0.00001690404,0.00006532196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5520544,"threshold_uncertainty_score":0.5232569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375596690620066,"score_gpt":0.3296905452727799,"score_spread":0.2959345783665793,"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."}}