{"id":"W4391947104","doi":"10.3233/shti231317","title":"AI Can Improve the Economics of Blindness Prevention in Canada","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Blindness; Diabetic retinopathy; Medicine; Interoperability; Psychological intervention; Economic cost; Optometry; Gerontology; Diabetes mellitus; Business; Computer science; Economics; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00147205,0.0003613807,0.0003349051,0.001871262,0.001937392,0.003216726,0.001018007,0.0009259331,0.0129666],"category_scores_gemma":[0.0118037,0.0001752102,0.0005927458,0.002515412,0.0008222132,0.00101889,0.001174018,0.001142031,0.0003045944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06558245,"about_ca_system_score_gemma":0.1813616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869419,"about_ca_topic_score_gemma":0.9855024,"domain_scores_codex":[0.9976828,0.0004299313,0.00006651236,0.00007970043,0.0009005875,0.0008404431],"domain_scores_gemma":[0.9948032,0.001305764,0.0002887962,0.0001389868,0.002243033,0.001220193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009659266,0.0006742114,0.08952421,0.0009525151,0.0003772649,0.0009501141,0.0006941112,0.05913445,0.001182828,0.3139301,0.2260341,0.3055801],"study_design_scores_gemma":[0.001219859,0.0006135252,0.3084833,0.001478463,0.0008687215,0.000575561,0.005588574,0.1677116,0.002452456,0.1005539,0.4101276,0.0003265725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2466212,0.01195562,0.0128974,0.2610405,0.0008430006,0.001282132,0.01016611,0.0006197178,0.4545743],"genre_scores_gemma":[0.9523242,0.005647035,0.006119939,0.007287919,0.0001595775,0.0001120025,0.001341566,0.00004400342,0.0269638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06558245,"threshold_uncertainty_score":0.4758362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381058820614297,"score_gpt":0.3554759534093043,"score_spread":0.3316653652031614,"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."}}