{"id":"W4391035882","doi":"10.1016/j.oret.2024.01.013","title":"Image Analysis–Based Machine Learning for the Diagnosis of Retinopathy of Prematurity","year":2024,"lang":"en","type":"review","venue":"Ophthalmology Retina","topic":"Retinopathy of Prematurity Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Science and Technology Department of Xinjiang Uyghur Autonomous Region; Scientific Research Foundation of Hunan Provincial Education Department; National Natural Science Foundation of China; Natural Science Foundation of Xinjiang; Natural Science Foundation of Xinjiang Province","keywords":"Retinopathy of prematurity; Medicine; Ophthalmology; Machine learning; Artificial intelligence; Optometry; Medical physics; Computer science; Gestational age; Pregnancy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002048261,0.0007420106,0.00561157,0.0007227016,0.0001452691,0.00001804089,0.0005769244,0.0007088056,0.0001941651],"category_scores_gemma":[0.003339552,0.0004446812,0.003385835,0.001416442,0.0008246604,0.00002904952,0.0003357305,0.001419129,0.00002045544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008717788,"about_ca_system_score_gemma":0.0002694134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005364182,"about_ca_topic_score_gemma":0.000002712661,"domain_scores_codex":[0.9958537,0.0006742438,0.001637792,0.0008797749,0.0004670569,0.0004874505],"domain_scores_gemma":[0.9928325,0.003950293,0.001505427,0.001169754,0.0004436363,0.00009832506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001195023,0.001676235,0.04715605,0.8140137,0.03898145,0.002257428,0.001113608,0.0000115603,0.00004435603,0.0002861645,0.005208349,0.08805604],"study_design_scores_gemma":[0.001925494,0.004867639,0.005259821,0.06602323,0.3838674,0.005078981,0.0002309113,0.001898212,0.0003656625,0.0003120099,0.5284601,0.001710519],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000938891,0.9935883,0.00003460432,0.0004524275,0.0003407934,0.002881207,0.0003244832,0.00006230716,0.001376936],"genre_scores_gemma":[0.0065355,0.9879483,0.002937379,0.00001163557,0.0001699793,0.0009812806,0.0003996851,0.0001225133,0.0008937357],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7479905,"threshold_uncertainty_score":0.9998005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06786281682700927,"score_gpt":0.3879171788896073,"score_spread":0.320054362062598,"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."}}