{"id":"W4415124422","doi":"10.1109/icisc65841.2025.11187811","title":"Stacked Neural Computing Model - Based Data Quality Analysis and Classification","year":2025,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data pre-processing; Artificial neural network; Principal component analysis; Preprocessor; Linear discriminant analysis; Feature extraction; Pattern recognition (psychology); Outlier; Missing data; Data quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002187653,0.001105113,0.001182308,0.001469034,0.0005596787,0.001995205,0.001664892,0.0007863187,0.001113194],"category_scores_gemma":[0.006821871,0.0004321006,0.001156742,0.001510511,0.0006080308,0.001895894,0.001411373,0.001322628,0.0003910996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069818,"about_ca_system_score_gemma":0.00233531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033406,"about_ca_topic_score_gemma":0.01576072,"domain_scores_codex":[0.9984994,0.0002838823,0.0001449813,0.0003339153,0.0005652488,0.0001725833],"domain_scores_gemma":[0.9971958,0.0006063114,0.0004196441,0.0003758626,0.001298607,0.000103803],"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":[0.0001930178,0.0001563249,0.006993111,0.00007093028,0.0001917457,0.00009666473,0.0000896258,0.7555201,0.003924525,0.00597514,0.001639948,0.2251488],"study_design_scores_gemma":[9.407066e-7,0.00001310483,0.0002141681,0.000002435648,0.000006278778,0.00000601439,0.000003749766,0.9977035,0.000757786,0.001200084,0.00008850067,0.000003518107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03368785,0.0002088706,0.9630061,0.0002332657,0.00004243253,0.00007181441,0.0001415449,0.001545659,0.001062409],"genre_scores_gemma":[0.7618149,0.0003007811,0.2348661,0.0001829914,0.00005506515,0.0001657542,0.0005769711,0.00008176962,0.001955786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02033406,"threshold_uncertainty_score":0.04043144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5657591235788999,"score_gpt":0.5444405596649767,"score_spread":0.02131856391392317,"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."}}