{"id":"W3010449166","doi":"10.1016/j.asoc.2020.106196","title":"On the rectangular fuzzy complex linear systems","year":2020,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy number; Fuzzy logic; Linear system; Mathematics; Algebraic number; Focus (optics); Complex system; Fuzzy set operations; Computer science; Mathematical optimization; Fuzzy control system; Applied mathematics; Algebra over a field; Fuzzy set; Artificial intelligence; Mathematical analysis; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004334544,0.0001693674,0.0002725911,0.00002301375,0.0002822502,0.00007775828,0.0002444901,0.00007338461,0.00002079249],"category_scores_gemma":[0.0002734267,0.0001210188,0.00006003955,0.000237047,0.00002764965,0.00001751998,0.00008849116,0.0002040484,0.0001120825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000301717,"about_ca_system_score_gemma":0.00001686624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001051899,"about_ca_topic_score_gemma":4.249476e-7,"domain_scores_codex":[0.9987689,0.00007814899,0.000367937,0.0002677473,0.0002848069,0.0002324496],"domain_scores_gemma":[0.9984033,0.0009883217,0.0002000131,0.0002787795,0.00005290045,0.0000766767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002653546,0.0000424535,0.00002235356,0.0002598628,0.00006224334,0.000005732087,0.003045204,0.05607807,0.001106699,0.9086319,0.02995024,0.0007687272],"study_design_scores_gemma":[0.0005582737,0.00007501493,0.00002595707,0.0001365801,0.00003309676,0.000006554344,0.001533786,0.9756619,0.0001841795,0.01568193,0.0057424,0.0003603459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2184805,0.0001815754,0.6262919,0.004546604,0.0008999807,0.00337268,0.00002551786,0.001735609,0.1444656],"genre_scores_gemma":[0.988134,6.810559e-7,0.01011531,0.001130607,0.000511509,0.0000114618,0.000008877231,0.00004458453,0.00004299815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9195838,"threshold_uncertainty_score":0.4935004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07990551764420986,"score_gpt":0.276612359588306,"score_spread":0.1967068419440961,"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."}}