{"id":"W7125916189","doi":"10.1109/icact67549.2025.11351483","title":"Deep Learning-Based Diagnostic Framework for Early Detection of Jaundice Using Skin and Eye Image Analysis","year":2025,"lang":"","type":"article","venue":"","topic":"Neonatal Health and Biochemistry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Jaundice; Convolutional neural network; Image processing; Clinical Practice; Medical imaging; Diagnostic accuracy; Sign (mathematics)","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":[0.0004368805,0.0002639251,0.0006676034,0.0004342299,0.0002756465,0.00003859151,0.00008835913,0.0004425586,0.0001659823],"category_scores_gemma":[0.00362328,0.000255618,0.0002940623,0.00165877,0.0002274764,0.0000611752,0.00004807908,0.0005159574,0.000002362314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303449,"about_ca_system_score_gemma":0.0002627218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009450069,"about_ca_topic_score_gemma":0.00009453011,"domain_scores_codex":[0.998013,0.0000794169,0.0006631856,0.0005272036,0.0002434475,0.0004737064],"domain_scores_gemma":[0.9960548,0.002733825,0.0002982795,0.0003095983,0.0003263978,0.0002770659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007394427,0.001389939,0.5308912,0.03645632,0.004407025,0.00006315876,0.0007928108,0.002147335,0.1289202,0.0002406006,0.00001863788,0.2872784],"study_design_scores_gemma":[0.003471197,0.001287901,0.1382705,0.001767518,0.0103164,0.000002634371,0.0009758712,0.3460639,0.4967107,0.0005158852,0.0002006122,0.0004169181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5046365,0.00346683,0.4910569,0.0001777259,0.0001192526,0.0004257038,0.000009959119,0.00001850506,0.0000886269],"genre_scores_gemma":[0.9855214,0.0002179503,0.01326274,0.0003292427,0.0001523314,0.00002668947,0.00002702,0.00001852417,0.0004441482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4808849,"threshold_uncertainty_score":0.9999896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007605905804095557,"score_gpt":0.3198402005326741,"score_spread":0.3122342947285786,"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."}}