{"id":"W4406247553","doi":"10.18280/ts.410643","title":"Automatic Digital Analysis System to Grade Diabetic Retinopathy by Integrated Stacking Model Concept","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stacking; Diabetic retinopathy; Computer science; Artificial intelligence; Ophthalmology; Optometry; Medicine; Diabetes mellitus; Chemistry; Endocrinology","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":[0.0004926088,0.0006839696,0.0005624659,0.001051546,0.0002491624,0.0008252477,0.0008085014,0.0005047332,0.0020364],"category_scores_gemma":[0.0007629872,0.0002084969,0.0007740108,0.0004435479,0.0001442607,0.0007320089,0.0008923048,0.0007119852,0.0009805972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006595813,"about_ca_system_score_gemma":0.0006525658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003238074,"about_ca_topic_score_gemma":0.003935656,"domain_scores_codex":[0.9997181,0.00002981569,0.00001989457,0.00009397914,0.00009996206,0.00003819352],"domain_scores_gemma":[0.9997478,0.00003318894,0.00003816666,0.00004578444,0.0001125829,0.00002246815],"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":[0.0005274962,0.000258703,0.006695479,0.0001431692,0.0002104956,0.0002041054,0.00009239184,0.04423473,0.05046802,0.002870781,0.01358026,0.8807143],"study_design_scores_gemma":[0.00003392011,0.0002494945,0.004207504,0.00003176393,0.0001551194,0.0003208349,0.00003924904,0.9429707,0.04293313,0.003028522,0.005988009,0.00004170876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09877104,0.001140513,0.8743407,0.0003629405,0.0001714704,0.0002411653,0.001203173,0.01900305,0.004765984],"genre_scores_gemma":[0.6399274,0.0007302285,0.349768,0.000367297,0.00009610424,0.0002761381,0.002679598,0.0002164043,0.00593881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003238074,"threshold_uncertainty_score":0.006812394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118585069839419,"score_gpt":0.2600976311207366,"score_spread":0.2489117804223424,"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."}}