{"id":"W4401829755","doi":"10.18280/ria.380422","title":"An Efficacious Hybrid Approach for Diabetic Retinal Pathogen Classification","year":2024,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retinal; Pathogen; Medicine; Ophthalmology; Immunology","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":[0.0005730289,0.000727704,0.0006159076,0.001206435,0.0003482664,0.0006552769,0.001096678,0.0007694169,0.001067073],"category_scores_gemma":[0.000881368,0.0002453517,0.0007755436,0.000643897,0.0002113448,0.0006220408,0.0006764547,0.0004577309,0.0004129402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007031976,"about_ca_system_score_gemma":0.0008248035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086915,"about_ca_topic_score_gemma":0.009937976,"domain_scores_codex":[0.9995828,0.00004419457,0.00003006998,0.0001294998,0.0001455521,0.0000679592],"domain_scores_gemma":[0.9997035,0.00005229114,0.00003729261,0.00003620968,0.0001441196,0.00002666197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003734154,0.0002405267,0.01035649,0.0001420268,0.0001546919,0.0003166619,0.000123775,0.113107,0.04070185,0.001981638,0.004717525,0.8277845],"study_design_scores_gemma":[0.00001115034,0.00007305011,0.001960545,0.000008596426,0.00002397981,0.0001309083,0.00003838832,0.9883832,0.007344416,0.000757657,0.001253976,0.00001416549],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1314886,0.001272835,0.8585248,0.0005070267,0.0001654655,0.0001994202,0.0003901722,0.003650498,0.003801279],"genre_scores_gemma":[0.6790228,0.0004050921,0.3134999,0.0003352493,0.00007034848,0.0001181895,0.000905149,0.00006984198,0.005573484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01086915,"threshold_uncertainty_score":0.02161175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04979742180956988,"score_gpt":0.3241930906664464,"score_spread":0.2743956688568766,"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."}}