{"id":"W4214520296","doi":"10.3390/electronics11050721","title":"Automated Detection of Alzheimer’s via Hybrid Classical Quantum Neural Networks","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"King Saud University","keywords":"Computer science; Quantum; Artificial intelligence; Quantum machine learning; Artificial neural network; Transfer of learning; Deep learning; Feature (linguistics); Algorithm; Pattern recognition (psychology); Quantum computer; 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":[0.0007452076,0.0003851844,0.0003938083,0.0004387957,0.0003321964,0.0005222303,0.0009635024,0.0006489875,0.001080217],"category_scores_gemma":[0.001209423,0.0003072157,0.0003765682,0.0003297117,0.0006138646,0.001185537,0.0006655824,0.0004859229,0.0001811015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008459315,"about_ca_system_score_gemma":0.0005925188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375708,"about_ca_topic_score_gemma":0.004826915,"domain_scores_codex":[0.9997813,0.00006256196,0.000008197129,0.00005716521,0.00005804096,0.0000326753],"domain_scores_gemma":[0.9997445,0.0001096197,0.00003452929,0.00004428459,0.00005139474,0.00001565052],"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":[0.0003955491,0.0002257047,0.0056588,0.0001077575,0.000154527,0.0002826664,0.0001217541,0.8072587,0.03160841,0.02191684,0.002257422,0.130012],"study_design_scores_gemma":[0.000004536628,0.00001700776,0.0002689297,0.000001911381,0.000004470002,0.00001553541,0.000003461312,0.9944719,0.002240365,0.002815451,0.0001509933,0.000005407372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3987109,0.0006448613,0.5919466,0.0009243966,0.00007781642,0.00007652814,0.0002019207,0.00183735,0.00557963],"genre_scores_gemma":[0.9387707,0.0001065962,0.05966299,0.0001412604,0.00002029134,0.00004170734,0.00009023144,0.00003014039,0.001136074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00375708,"threshold_uncertainty_score":0.007470429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008863171803042084,"score_gpt":0.2296595106189637,"score_spread":0.2207963388159216,"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."}}