{"id":"W4416792315","doi":"10.21203/rs.3.rs-8191406/v1","title":"Multi-Modal Data Fusion With Federated Multi-Head Attention for Diabetic Retinopathy Severity Classification","year":2025,"lang":"","type":"preprint","venue":"Research Square","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Fundus (uterus); Diabetic retinopathy; Deep learning; Modalities; Key (lock); Training set; Federated learning; Perceptron","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":[0.001215547,0.001239596,0.001558669,0.002030027,0.0005884503,0.001041868,0.000937324,0.001393905,0.001958108],"category_scores_gemma":[0.00212949,0.0003150321,0.001906332,0.001746764,0.0003163057,0.0009122569,0.001887118,0.001135833,0.0009726042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003968437,"about_ca_system_score_gemma":0.0008763333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006128457,"about_ca_topic_score_gemma":0.008175021,"domain_scores_codex":[0.9991787,0.0001697447,0.00004421135,0.0002015138,0.0001901907,0.0002155886],"domain_scores_gemma":[0.9994161,0.0001533199,0.00004171007,0.00008778402,0.0002517448,0.00004938539],"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":[0.001532575,0.0007247907,0.007914676,0.0002309911,0.0005313969,0.0002269212,0.0001590259,0.03937599,0.04945095,0.0008057267,0.00933874,0.8897082],"study_design_scores_gemma":[0.00005214235,0.0003057191,0.01558779,0.00004648246,0.0004633497,0.0003380683,0.0001729711,0.9447113,0.0318922,0.003652888,0.002707422,0.00006966089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1538143,0.003724496,0.8320088,0.001011738,0.000597255,0.0001997993,0.001969913,0.003422629,0.003251057],"genre_scores_gemma":[0.7870096,0.001190144,0.2031429,0.0005568502,0.0005778488,0.0001801429,0.003109106,0.0001318229,0.004101618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006128457,"threshold_uncertainty_score":0.01218557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2202365176807217,"score_gpt":0.4754824765662376,"score_spread":0.2552459588855159,"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."}}