{"id":"W4390230815","doi":"10.18280/ria.370623","title":"Improved Lion Optimization and Faster Mask Recurrent CNN Developed for Diabetic Retinal Detachment Prediction","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retinal; Ophthalmology; Computer science; Artificial intelligence; Optometry; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0004432,0.0001401349,0.0002237388,0.0002015111,0.000142358,0.00005160354,0.00005812187,0.00006150944,0.00006068445],"category_scores_gemma":[0.0001952077,0.0001260636,0.00009289313,0.0005156544,0.000055509,0.00007823795,0.00003993915,0.0001126848,0.00006008496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005283449,"about_ca_system_score_gemma":0.00003100453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004891388,"about_ca_topic_score_gemma":0.000001228915,"domain_scores_codex":[0.9987823,0.00003245853,0.0004023933,0.0003801256,0.0001322047,0.0002704792],"domain_scores_gemma":[0.9993299,0.00008658909,0.00009780667,0.0002132526,0.0001615002,0.0001109677],"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":[0.001194212,0.0007578744,0.03790234,0.002892191,0.0004209897,0.00004839058,0.006933845,0.1683543,0.1117703,0.0003378228,0.005049828,0.6643379],"study_design_scores_gemma":[0.0001279546,0.0003437882,0.0005194807,0.0002918661,0.0001539015,0.00001621205,0.0006264385,0.9693436,0.02645949,0.00007774559,0.001915741,0.0001238007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2664409,0.0004215662,0.7278274,0.003394345,0.0003542482,0.0009180735,0.00001619726,0.0002181872,0.0004090751],"genre_scores_gemma":[0.9819248,0.0007563695,0.01021426,0.0001131666,0.0001908237,0.0001470608,0.0002305768,0.00003134963,0.006391636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8009893,"threshold_uncertainty_score":0.5140724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04250882817116208,"score_gpt":0.3051309351424181,"score_spread":0.262622106971256,"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."}}