{"id":"W4413325339","doi":"10.1016/j.eswa.2025.129306","title":"Corrigendum to: “Multi-view neutrosophic <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.svg\"><mml:mi>c</mml:mi></mml:math>-means clustering algorithms” [Expert Syst. Appl. 260 (2025) 126763]","year":2025,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Algorithm; Cluster analysis; Computer science; Mathematics; Algebra over a field; Artificial intelligence; Pure 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001333456,0.002030423,0.002110255,0.002999214,0.002525993,0.003181975,0.002459184,0.003071384,0.475174],"category_scores_gemma":[0.01750837,0.0007764591,0.001894433,0.00216221,0.001058706,0.002315446,0.002057412,0.002919858,0.2599752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003239598,"about_ca_system_score_gemma":0.001740787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01825916,"about_ca_topic_score_gemma":0.02647475,"domain_scores_codex":[0.9984472,0.0002264395,0.0001548019,0.0003035166,0.0007186954,0.0001493194],"domain_scores_gemma":[0.987516,0.002024743,0.0002261375,0.0006044182,0.009080351,0.0005484193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001617869,0.000007901575,0.00002753984,0.0000557866,0.000006408785,0.0000588678,0.00001457759,0.000052869,0.00008439512,0.0006691023,0.9938802,0.005126224],"study_design_scores_gemma":[0.00001973413,0.0000251515,0.0006195286,0.00009264794,0.00002206133,0.0001971089,0.00006198062,0.0005680427,0.0004865592,0.001566801,0.9963098,0.00003046941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004015362,0.002785317,0.004051812,0.04261968,0.883369,0.0001234039,0.002727846,0.001456486,0.06246484],"genre_scores_gemma":[0.01029484,0.004748377,0.004743519,0.01570857,0.1010169,0.0001690815,0.005365628,0.001704631,0.8562484],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.475174,"threshold_uncertainty_score":0.7486006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02688683925754727,"score_gpt":0.2685451494034896,"score_spread":0.2416583101459424,"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."}}