{"id":"W4387405241","doi":"10.1142/s021812662450124x","title":"Cascade AdaBoost Neural Network Classifier: Analysis and Design","year":2023,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"AdaBoost; Artificial intelligence; Computer science; Pattern recognition (psychology); Cascade; Classifier (UML); Artificial neural network; Machine learning; Particle swarm optimization; Data mining; Engineering","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":[0.0005980031,0.0001320598,0.0003791398,0.0002550678,0.0001957198,0.0004096121,0.0003267534,0.00005405509,6.693431e-7],"category_scores_gemma":[0.000006056408,0.0001040979,0.0001093884,0.001285046,0.0000373033,0.0003051267,0.0001124295,0.0001707213,0.000001946438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001516413,"about_ca_system_score_gemma":0.00002871398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001529939,"about_ca_topic_score_gemma":0.000001799388,"domain_scores_codex":[0.998659,0.0001380027,0.0004546763,0.0002244112,0.0002557255,0.0002682161],"domain_scores_gemma":[0.9987869,0.0003436138,0.0003523379,0.0002164258,0.0000943788,0.0002063105],"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":[0.000008046221,0.00004230591,0.008337394,0.00006797266,0.001015899,0.0004017682,0.0007974433,0.7389522,0.0005247097,0.03779454,0.04676563,0.1652921],"study_design_scores_gemma":[0.0002617933,0.0001238647,0.03674771,0.00005770799,0.0001128941,0.0004754576,0.0000376307,0.9591201,0.000007970416,0.001057441,0.001836417,0.0001610058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07607522,0.001518091,0.9202093,0.001004776,0.0009134219,0.0001591344,0.000001324155,0.0000635672,0.00005510158],"genre_scores_gemma":[0.9969285,0.0002461866,0.002084474,0.0001942578,0.0004820837,0.000003979737,4.992467e-7,0.00000716185,0.00005285547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9208533,"threshold_uncertainty_score":0.4244988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335456159664674,"score_gpt":0.2461191429266601,"score_spread":0.2125735269601927,"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."}}