{"id":"W7133527117","doi":"10.1109/apcit65661.2025.11411044","title":"RetinoAid: A Hybrid Deep Learning Framework for Automated Staging and Detection of Retinopathy of Prematurity","year":2025,"lang":"","type":"article","venue":"","topic":"Retinopathy of Prematurity Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deep learning; Retinopathy of prematurity; Retinopathy; Artificial neural network","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":[0.0005034388,0.0008998081,0.0007121473,0.00114807,0.0002848352,0.0008162934,0.001379978,0.0007637034,0.002733966],"category_scores_gemma":[0.0008515575,0.0004321824,0.0006950403,0.0004659316,0.0001597524,0.0005782915,0.001036398,0.000910547,0.001237837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007543532,"about_ca_system_score_gemma":0.001067151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235879,"about_ca_topic_score_gemma":0.02059008,"domain_scores_codex":[0.9997334,0.00003440394,0.00001210522,0.0001018258,0.00007476196,0.00004350239],"domain_scores_gemma":[0.9998704,0.00003247924,0.00001232897,0.00002101594,0.00004727716,0.00001644816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007476612,0.0003896945,0.008962609,0.0002787871,0.0004891134,0.0002752961,0.00008262113,0.06493685,0.02710263,0.002584636,0.03482612,0.859324],"study_design_scores_gemma":[0.00005181478,0.0001972329,0.002850657,0.00005814269,0.00007794983,0.0003075728,0.00002607203,0.9670441,0.01608594,0.002235015,0.0110228,0.00004276886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06269787,0.005133343,0.8846062,0.0005056165,0.0003095728,0.0002521511,0.005003185,0.03586381,0.005628102],"genre_scores_gemma":[0.4488133,0.001990141,0.5182998,0.0008594023,0.0001452238,0.0003233759,0.01209223,0.0007391587,0.01673735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01235879,"threshold_uncertainty_score":0.02457368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00928728315201181,"score_gpt":0.2934786225433885,"score_spread":0.2841913393913767,"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."}}