{"id":"W4408076558","doi":"10.1038/s41598-025-92564-x","title":"Robust self supervised symmetric nonnegative matrix factorization to the graph clustering","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Non-negative matrix factorization; Cluster analysis; Computer science; Biclustering; Graph; Matrix decomposition; Combinatorics; Mathematics; Artificial intelligence; Pattern recognition (psychology); Theoretical computer science; Correlation clustering; CURE data clustering algorithm; Physics","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":[0.002086427,0.001474661,0.001604637,0.001550208,0.0007070162,0.0008447917,0.001908671,0.00151706,0.00156098],"category_scores_gemma":[0.007019595,0.000582386,0.001353569,0.001584985,0.001288339,0.001526106,0.001483848,0.00180282,0.0008505551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135081,"about_ca_system_score_gemma":0.001637669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005687083,"about_ca_topic_score_gemma":0.007666321,"domain_scores_codex":[0.9983982,0.000708315,0.00004980955,0.0004388107,0.0003066412,0.00009821182],"domain_scores_gemma":[0.9976627,0.001034543,0.0002950155,0.0003955933,0.0005041389,0.0001080321],"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":[0.000128912,0.0001038842,0.0006746994,0.0003108865,0.0001442742,0.0001256675,0.0002059999,0.7486039,0.007304179,0.03608472,0.008890509,0.1974224],"study_design_scores_gemma":[0.000003861525,0.00001018453,0.00007655907,0.000006167334,0.000004082074,0.00001816009,0.000008930596,0.9885492,0.00057059,0.01013961,0.0006055311,0.000007154867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003629843,0.0002207844,0.9952615,0.00009132735,0.00002915425,0.00002642462,0.0000495766,0.0003347308,0.0003565683],"genre_scores_gemma":[0.2350346,0.0006000748,0.7600275,0.0002922535,0.0001716789,0.0002229143,0.0008130612,0.0003213201,0.002516611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005687083,"threshold_uncertainty_score":0.01130795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906847114669615,"score_gpt":0.2498776019126946,"score_spread":0.2308091307659985,"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."}}