{"id":"W4403680373","doi":"10.3390/e26110899","title":"Interval-Valued Random Matrices","year":2024,"lang":"en","type":"article","venue":"Entropy","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"North Carolina Agricultural and Technical State University","keywords":"Frequentist inference; Computer science; Matrix norm; Estimator; Statistical inference; Inference; Bayesian probability; Interval (graph theory); Random matrix; Algorithm; Bayesian inference; Data mining; Mathematics; Artificial intelligence; Statistics","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":[0.00411351,0.0007791474,0.001005296,0.002412631,0.0005049194,0.003228112,0.00191028,0.001169803,0.004162515],"category_scores_gemma":[0.02197734,0.0004542902,0.0008581533,0.002235429,0.002734464,0.004628053,0.001808512,0.002280234,0.0008798212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039408,"about_ca_system_score_gemma":0.00102526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014305,"about_ca_topic_score_gemma":0.0007562311,"domain_scores_codex":[0.9962424,0.001658449,0.0001940643,0.000836034,0.0009240966,0.000145039],"domain_scores_gemma":[0.9863709,0.009242724,0.001774529,0.00123562,0.001103702,0.0002724995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002857442,0.00002029038,0.001050511,0.0001227957,0.00004874655,0.0001294557,0.0001325491,0.0685242,0.00115625,0.9008857,0.00101158,0.02688932],"study_design_scores_gemma":[0.000009338441,0.00003955467,0.0005507349,0.00006310616,0.00001702176,0.000176516,0.00004993379,0.3812672,0.0006757237,0.6107308,0.00638185,0.00003813169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003091329,0.0003061466,0.9943764,0.0002041301,0.00005211135,0.00001891817,0.000141645,0.00007906197,0.001730301],"genre_scores_gemma":[0.4151282,0.002255418,0.5761577,0.0004816376,0.0005125173,0.0003158118,0.0007271637,0.0001260908,0.00429541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004162515,"threshold_uncertainty_score":0.02175456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126708704184904,"score_gpt":0.2618170070764185,"score_spread":0.2505499200345695,"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."}}