{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003082632,0.0006228847,0.0007870478,0.0005163035,0.0004906015,0.0006934309,0.0007201501,0.0009526024,0.002182302],"category_scores_gemma":[0.005483012,0.0001868556,0.0004815388,0.000321988,0.0003897535,0.00101357,0.0006748124,0.001110064,0.0003231609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153267,"about_ca_system_score_gemma":0.001280234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01730478,"about_ca_topic_score_gemma":0.01044302,"domain_scores_codex":[0.9994351,0.0002455703,0.00003216107,0.00008784456,0.0001179422,0.00008129386],"domain_scores_gemma":[0.9967559,0.002281741,0.0001542731,0.0002344715,0.0004946438,0.00007900161],"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":[0.0003846128,0.0002298464,0.008629707,0.00007565736,0.0001295739,0.00005456608,0.00005475348,0.9264026,0.002091689,0.003299972,0.001020827,0.05762618],"study_design_scores_gemma":[0.00000268664,0.00003921661,0.000384255,0.000001791368,0.000005656438,0.000004105108,0.000004061501,0.9987914,0.0003953559,0.0003381867,0.00003041262,0.000002930388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7635115,0.001028624,0.2279555,0.001492666,0.0001002964,0.0001852335,0.0003685032,0.001049327,0.004308406],"genre_scores_gemma":[0.9767507,0.0001239654,0.0215221,0.00006909415,0.00001720431,0.00006475423,0.0002282954,0.00002306859,0.001200807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01730478,"threshold_uncertainty_score":0.03440809,"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."}}