{"id":"W4394390144","doi":"10.6084/m9.figshare.24328660","title":"<b>MAPLES-DR: </b>MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pathological; Diabetic retinopathy; Medicine; Pathology; Dermatology; Ophthalmology; Optometry; Diabetes mellitus; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001635638,0.002572047,0.0009553786,0.004020721,0.0006979496,0.002290358,0.002804781,0.002502357,0.08303894],"category_scores_gemma":[0.007033309,0.0007513923,0.001542848,0.002098609,0.0004004694,0.002326535,0.003837453,0.001496762,0.08525717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247002,"about_ca_system_score_gemma":0.001840182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01255203,"about_ca_topic_score_gemma":0.02195876,"domain_scores_codex":[0.9988465,0.0001768271,0.00009582369,0.0003489197,0.0003895165,0.0001423521],"domain_scores_gemma":[0.9975094,0.0005222404,0.0002549046,0.0008000247,0.0006377632,0.0002756586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000147509,0.00003249231,0.001752057,0.0006937376,0.00004916389,0.00006066745,0.00005045121,0.0008394746,0.001197757,0.000874527,0.9724551,0.02184694],"study_design_scores_gemma":[0.0002113522,0.00007549523,0.01336488,0.0006815232,0.00007664449,0.0004981189,0.0001635106,0.009106422,0.005735349,0.007523919,0.9624107,0.0001519928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002291036,0.0005860262,0.01314944,0.0009551952,0.0003497458,0.0001933308,0.9215801,0.05201855,0.00887656],"genre_scores_gemma":[0.008180981,0.0004099877,0.02733323,0.000681425,0.0001340234,0.0003420553,0.9525186,0.006796004,0.003603667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08303894,"threshold_uncertainty_score":0.2777929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07634985000243615,"score_gpt":0.3758245841834512,"score_spread":0.299474734181015,"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."}}