{"id":"W4392190377","doi":"10.1080/09273948.2024.2319281","title":"Automated Machine Learning versus Expert-Designed Models in Ocular Toxoplasmosis: Detection and Lesion Localization Using Fundus Images","year":2024,"lang":"en","type":"article","venue":"Ocular Immunology and Inflammation","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de l'Est-de-l'Île-de-Montréal; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Medicine; Toxoplasmosis; Fundus (uterus); Ophthalmology; Artificial intelligence; Lesion; Optometry; Machine learning; Pathology; Computer science","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":[0.002866732,0.0009050217,0.0005254538,0.0009641249,0.0002889509,0.001101744,0.0008802225,0.001086331,0.001131421],"category_scores_gemma":[0.008390874,0.0003713672,0.000545973,0.0003529608,0.0004679604,0.00093322,0.0008022154,0.0007622154,0.000551975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478969,"about_ca_system_score_gemma":0.001031896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005486365,"about_ca_topic_score_gemma":0.005604602,"domain_scores_codex":[0.9987375,0.0004853063,0.00008030561,0.0003904035,0.0002246469,0.00008175295],"domain_scores_gemma":[0.9963935,0.001928269,0.0004202436,0.0004279175,0.0007024657,0.000127552],"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":[0.001152504,0.0006658495,0.05615708,0.0003322598,0.0003661636,0.0003573964,0.0003321559,0.449989,0.02482119,0.001117361,0.00371516,0.4609939],"study_design_scores_gemma":[0.00003630702,0.0002957707,0.004875721,0.00004194569,0.00004210564,0.0002096295,0.00005136319,0.9816914,0.01085471,0.001017825,0.0008531546,0.00003001256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7024909,0.001324534,0.287634,0.0006676708,0.00009811818,0.000349908,0.0003749568,0.00366792,0.003391909],"genre_scores_gemma":[0.9379901,0.0001819876,0.05982774,0.0002926444,0.0000249468,0.0001034873,0.0004109662,0.00008407157,0.001084027],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005486365,"threshold_uncertainty_score":0.01516092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232215650896639,"score_gpt":0.2860999346124337,"score_spread":0.2637777781034673,"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."}}