{"id":"W4383888721","doi":"10.17762/ijritcc.v11i5s.6655","title":"Machine Learning Techniques, Detection and Prediction of Glaucoma– A Systematic Review","year":2023,"lang":"en","type":"review","venue":"International Journal on Recent and Innovation Trends in Computing and Communication","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Glaucoma; Computer science; Support vector machine; Machine learning; Artificial intelligence; Blindness; Cluster analysis; Data mining; Optometry; Medicine; Ophthalmology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001720517,0.0001895895,0.0009472716,0.002117087,0.0001091807,0.0000731441,0.0001316165,0.0001074214,0.000006200729],"category_scores_gemma":[0.0004664805,0.0001494641,0.00008807641,0.001376281,0.00004987539,0.00007919689,0.00009656161,0.0007983061,6.711689e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169132,"about_ca_system_score_gemma":0.00002846331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001392822,"about_ca_topic_score_gemma":0.000001694153,"domain_scores_codex":[0.9977166,0.0003616656,0.00132959,0.0001867863,0.0003186329,0.00008669192],"domain_scores_gemma":[0.9978221,0.0002203277,0.001299702,0.0001726869,0.0004520775,0.00003309412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001283291,0.00004213721,0.0002722729,0.04619743,0.0002081773,0.000003357554,0.00003705355,2.610591e-7,0.0000040009,0.0002371479,0.00001583291,0.9529695],"study_design_scores_gemma":[0.0005981533,0.0002975452,0.0005952474,0.8853745,0.001500296,0.001305519,0.00005483869,0.006097348,0.00001082034,0.0001700659,0.1037595,0.000236113],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003094827,0.997929,0.0002760193,0.0007743118,0.00008758081,0.000260626,0.000006545557,0.00005345035,0.0003030309],"genre_scores_gemma":[0.002502837,0.9964825,0.0003955629,0.0001008637,0.00006115406,0.00001450652,0.0002659083,0.00002035685,0.0001563372],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9527334,"threshold_uncertainty_score":0.6094969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06822258148505944,"score_gpt":0.3997225103073322,"score_spread":0.3314999288222727,"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."}}