{"id":"W4293707077","doi":"10.1117/12.2633672","title":"Quantum machine learning prediction model for retinal conditions: performance analysis","year":2022,"lang":"en","type":"article","venue":"","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Quantum machine learning; Qubit; Artificial intelligence; Quantum computer; Quantum; Quantum entanglement; Physics; Quantum mechanics","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":[0.0004022404,0.00009106926,0.0002441021,0.0003607601,0.0005311212,0.00001557167,0.00005565042,0.00001726815,0.00076476],"category_scores_gemma":[0.0000543029,0.00008076715,0.0002753265,0.0007032456,0.00002834926,0.0000680344,0.00003387429,0.0002501729,0.000005603607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007130325,"about_ca_system_score_gemma":0.00003910566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005021886,"about_ca_topic_score_gemma":0.000002884999,"domain_scores_codex":[0.9990503,0.00003902867,0.000231999,0.0002326098,0.000277375,0.0001686685],"domain_scores_gemma":[0.9995605,0.00003851771,0.00008210834,0.0001567065,0.00009589975,0.00006628928],"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":[0.0002837881,0.0001583266,0.3030204,0.0000676247,0.0009392123,0.00000457168,0.0002561692,0.6899354,0.00182343,0.000521104,0.002175687,0.0008142562],"study_design_scores_gemma":[0.0005011862,0.0002977789,0.006246448,0.000007021007,0.002370133,0.00002552165,0.0002990348,0.988416,0.00009235776,0.00008038252,0.001584471,0.00007965232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8570855,0.0001437483,0.1382263,0.001647585,0.00003863044,0.0002044902,0.000100378,0.0001982184,0.002355208],"genre_scores_gemma":[0.9749838,0.00004608832,0.001871121,0.0002658183,0.00004363451,0.0001181719,0.001098535,0.0000128054,0.02156002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2984806,"threshold_uncertainty_score":0.8373586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160942443484999,"score_gpt":0.2908415308443279,"score_spread":0.2692321064094779,"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."}}