{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001531879,0.0003979437,0.0005607323,0.0003089542,0.0002629636,0.0003522366,0.0003709436,0.0001795415,0.0004231076],"category_scores_gemma":[0.0003462507,0.0003942821,0.0005137543,0.0008286243,0.0003795096,0.0002380364,0.00003673624,0.0005316537,0.001255086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297051,"about_ca_system_score_gemma":0.0001800144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003542983,"about_ca_topic_score_gemma":9.567003e-7,"domain_scores_codex":[0.9965367,0.0002148545,0.0008821708,0.001188032,0.0003179744,0.0008603146],"domain_scores_gemma":[0.9978219,0.0004028108,0.0001328344,0.0009518611,0.0002792125,0.0004113958],"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":[0.0001661991,0.001619875,0.0006577502,0.005527268,0.0003440717,0.000267242,0.003346634,0.02812653,0.1017417,0.0154684,0.00625121,0.8364832],"study_design_scores_gemma":[0.00006433761,0.000553778,0.00005154434,0.001246678,0.0009388258,0.0002496036,0.002870534,0.9200665,0.02981917,0.0008386236,0.04289927,0.0004011698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03359663,0.04486221,0.9081249,0.005198655,0.001873765,0.0009537759,0.0001722266,0.0002951091,0.004922699],"genre_scores_gemma":[0.9589645,0.001459527,0.01031186,0.0001514363,0.002338707,0.0001684011,0.0006037327,0.0001071925,0.02589467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9253678,"threshold_uncertainty_score":0.9998509,"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."}}