{"id":"W4200475779","doi":"10.1016/j.mlwa.2021.100225","title":"Alzheimer’s disease diagnosis using genetic programming based on higher order spectra features","year":2021,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Genetic programming; Computer science; Artificial intelligence; Machine learning; Disease; Linear discriminant analysis; Set (abstract data type); Computer-aided diagnosis; Field (mathematics); Pattern recognition (psychology); Medicine; Pathology; Mathematics","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":[0.0003828304,0.0004175018,0.0003861856,0.0005386021,0.0002479013,0.000600498,0.0004311771,0.0004673478,0.0006414629],"category_scores_gemma":[0.001458516,0.000174776,0.0005059651,0.0003212573,0.0002108796,0.0003874353,0.0003211771,0.0004861444,0.0001438784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004127584,"about_ca_system_score_gemma":0.0005905117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005743106,"about_ca_topic_score_gemma":0.004421731,"domain_scores_codex":[0.9998404,0.00004820262,0.000008368262,0.00004375767,0.00004225361,0.00001701528],"domain_scores_gemma":[0.9996145,0.0002525735,0.000038791,0.00001584612,0.00006559489,0.00001273004],"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":[0.0001179334,0.0001350701,0.007653382,0.00004745243,0.00008317889,0.0002217945,0.0001269213,0.8231701,0.01009485,0.003730433,0.0005550302,0.1540639],"study_design_scores_gemma":[0.000002512772,0.00002102618,0.0004036157,0.000002880179,0.000006481133,0.00002981574,0.000006200231,0.9976957,0.0008711044,0.0008475569,0.0001099781,0.000003013923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1875535,0.0001831271,0.8091403,0.0002897584,0.00002353369,0.00007780423,0.00009202046,0.0006029858,0.002036879],"genre_scores_gemma":[0.8221424,0.0001192343,0.1758529,0.0000898802,0.00001243294,0.0001018028,0.0001334544,0.00003818944,0.001509788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005743106,"threshold_uncertainty_score":0.01141936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060703576292461,"score_gpt":0.2680442803859967,"score_spread":0.2574372446230721,"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."}}