{"id":"W4409797540","doi":"10.1007/978-3-031-86651-7_18","title":"A Novel Multimodal Deep Learning Fusion Framework for Predicting Neovascular Activity Evolution in Exudative Age-Related Macular Degeneration","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Macular degeneration; Computer science; Artificial intelligence; Deep learning; Ophthalmology; Medicine","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":[0.000656447,0.0007475655,0.0009123455,0.0007402658,0.000285285,0.0005946817,0.0008956378,0.0009913901,0.001323265],"category_scores_gemma":[0.0006018099,0.0002432667,0.0008423714,0.000625863,0.0001970581,0.0006048673,0.00084862,0.0007542727,0.0004871477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004416915,"about_ca_system_score_gemma":0.0006464429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00896407,"about_ca_topic_score_gemma":0.01356124,"domain_scores_codex":[0.9998125,0.00002679077,0.00001045327,0.00005004721,0.0000520939,0.00004806017],"domain_scores_gemma":[0.9998418,0.00004542423,0.00001450756,0.00001324882,0.00006579295,0.00001914034],"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":[0.0004025832,0.0003254543,0.005082088,0.0000819309,0.0002405205,0.0002373398,0.00005522172,0.1643988,0.02173529,0.001691946,0.009586018,0.7961627],"study_design_scores_gemma":[0.000004935783,0.00005624665,0.00104283,0.000007787302,0.00003229385,0.00006256727,0.000007396074,0.9955341,0.002062263,0.0006914993,0.0004891405,0.000008972631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1342959,0.006183975,0.8516735,0.0006155323,0.0003174269,0.00009333334,0.001257171,0.002484951,0.00307818],"genre_scores_gemma":[0.804332,0.002067702,0.181251,0.0004515928,0.0002890817,0.0001204448,0.002016901,0.0001202326,0.009351013],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00896407,"threshold_uncertainty_score":0.01782376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125762957988767,"score_gpt":0.2764473915382246,"score_spread":0.2638710957393479,"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."}}