{"id":"W4404418681","doi":"10.18280/ts.410520","title":"Transfer Learning for Automated Classification of Eye Disease in Fundus Images from Pretrained Model","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fundus (uterus); Computer science; Artificial intelligence; Transfer of learning; Pattern recognition (psychology); Computer vision; Ophthalmology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230967,0.0009115512,0.0009542138,0.0007398427,0.0003439057,0.0007094402,0.001215117,0.001469591,0.002169078],"category_scores_gemma":[0.002812327,0.0003618825,0.001077398,0.000551902,0.0004107851,0.0008017294,0.001028226,0.001511419,0.001225137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008202709,"about_ca_system_score_gemma":0.0008745915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010322,"about_ca_topic_score_gemma":0.005743844,"domain_scores_codex":[0.9996898,0.00008529607,0.00001893836,0.00009270145,0.00004889213,0.00006444745],"domain_scores_gemma":[0.9990973,0.0004679047,0.00005703422,0.0001339041,0.0002087511,0.00003507117],"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":[0.0006690159,0.000465427,0.006053609,0.0001813095,0.0002896658,0.0002959493,0.0001324742,0.3312068,0.01543814,0.001994403,0.009705617,0.6335676],"study_design_scores_gemma":[0.000009729853,0.00005618657,0.0008460367,0.000007371811,0.00001981238,0.00003343705,0.00001237434,0.9953779,0.001993643,0.001385688,0.0002517214,0.000006097875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4036055,0.003091116,0.5803781,0.001002048,0.0002470513,0.0001858914,0.001125231,0.007253027,0.003112125],"genre_scores_gemma":[0.9592773,0.0003514547,0.03403428,0.0001697316,0.00008348958,0.0001310204,0.001579464,0.00009947753,0.004273804],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.010322,"threshold_uncertainty_score":0.02052385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974402705068232,"score_gpt":0.312464888195065,"score_spread":0.2827208611443827,"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."}}