{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007004227,0.001071194,0.0008519645,0.000563731,0.0002453987,0.0006855355,0.001320689,0.001000157,0.001403319],"category_scores_gemma":[0.001726614,0.0004507564,0.0005689245,0.0003485772,0.0002985752,0.0006408985,0.0005046329,0.0006459007,0.0003270498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208391,"about_ca_system_score_gemma":0.001650448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695197,"about_ca_topic_score_gemma":0.01700546,"domain_scores_codex":[0.9997557,0.00004279995,0.00001663699,0.00007080685,0.00006403758,0.00004998589],"domain_scores_gemma":[0.9996648,0.0001174948,0.00005662915,0.00003109744,0.0001072381,0.00002274512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001696017,0.00007174783,0.002502889,0.00005233484,0.00006398729,0.0001103195,0.0000309533,0.908894,0.003408052,0.001903901,0.001895127,0.08089714],"study_design_scores_gemma":[0.000002614225,0.00001234822,0.00008693054,0.000001934529,0.000003402958,0.000005583095,0.000001156809,0.9993678,0.0002897743,0.0001374681,0.00008968599,0.000001386643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1600783,0.001334906,0.8271165,0.0006917386,0.0001672474,0.0001763558,0.0002867646,0.002956596,0.007191544],"genre_scores_gemma":[0.8014183,0.0003112872,0.1908342,0.0003961166,0.00005948601,0.0002251816,0.0006909819,0.0001563678,0.005908056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01695197,"threshold_uncertainty_score":0.03370661,"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."}}