{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003202215,0.0001580691,0.0002104168,0.0001086866,0.0003712975,0.00004207077,0.0006953373,0.00003377072,0.000007710713],"category_scores_gemma":[0.00001091631,0.0001584729,0.0001203973,0.0005913564,0.00003746472,0.00008526924,0.0004429671,0.0006928848,0.000002076245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007704803,"about_ca_system_score_gemma":0.00008557873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008925523,"about_ca_topic_score_gemma":0.000005143438,"domain_scores_codex":[0.9982609,0.0002075898,0.0002853273,0.0003705826,0.0003535238,0.0005220587],"domain_scores_gemma":[0.9992286,0.00007157822,0.000169675,0.0004190563,0.00004053758,0.00007052984],"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":[0.00002104569,0.0001337203,0.00001307477,0.000004759432,0.00007384562,0.00002848102,0.000127271,0.5951213,0.006204061,0.00316931,0.0007331342,0.39437],"study_design_scores_gemma":[0.0002060764,0.0006488439,0.0001621659,0.000001915567,0.00001391377,0.0002222092,0.000002671853,0.9875789,0.003917449,0.001451157,0.005623301,0.0001714506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2489008,0.007317258,0.7408946,0.0006595461,0.0009960206,0.0001669559,0.00000295623,0.001036016,0.00002581288],"genre_scores_gemma":[0.9982261,0.00001894159,0.001444576,0.0001616688,0.0001013884,0.00001347257,0.000006996048,0.00001748958,0.000009352161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7493253,"threshold_uncertainty_score":0.6462337,"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."}}