{"id":"W3171430437","doi":"","title":"A Review on Iris Based Diabetes Detection Using Machine Leaning Techniques","year":2021,"lang":"en","type":"review","venue":"","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"IRIS (biosensor); Computer science; Enhanced Data Rates for GSM Evolution; Edge detection; Artificial intelligence; Ideal (ethics); Computer vision; Machine learning; Image (mathematics); Image processing; Biometrics","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":[0.0006459844,0.000829337,0.001292777,0.003715469,0.0002496894,0.0008227245,0.0009063969,0.0008329037,0.005162387],"category_scores_gemma":[0.001612349,0.0003898782,0.001020301,0.003243598,0.0002960254,0.001313629,0.0004548763,0.0008589878,0.001971535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384786,"about_ca_system_score_gemma":0.0008867115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127062,"about_ca_topic_score_gemma":0.001543907,"domain_scores_codex":[0.9996767,0.00005628631,0.00007821091,0.00006624607,0.0001050051,0.00001762188],"domain_scores_gemma":[0.9990177,0.0006037693,0.0001312126,0.00002327121,0.0001959132,0.00002809556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009136238,0.00007976509,0.0003268989,0.06238063,0.0002191605,0.0002132338,0.00006714767,0.0003915072,0.002224701,0.001445462,0.02083183,0.9117283],"study_design_scores_gemma":[0.00002413546,0.000314556,0.003102486,0.02442584,0.0009275922,0.002678293,0.0001214483,0.0003638814,0.002243206,0.001839888,0.9638895,0.00006912521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001440751,0.9986246,0.0003236608,0.0001294598,0.0001210777,0.000007438779,0.00003273225,0.000009286404,0.0006078283],"genre_scores_gemma":[0.0007753833,0.9980019,0.0005573944,0.0001316289,0.0001148,0.00000956249,0.0000556497,0.00000248792,0.0003513532],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005162387,"threshold_uncertainty_score":0.01726991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009449378864476,"score_gpt":0.3650939262233109,"score_spread":0.2641489883368633,"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."}}