{"id":"W1880264781","doi":"10.3968/j.sms.1923845220120201.003","title":"Modifying Weak Solutions of a Triangular Fuzzy Linear System to Strong Ones","year":2011,"lang":"en","type":"article","venue":"Studies in mathematical sciences","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Fuzzy number; Fuzzy logic; Fuzzy subalgebra; Fuzzy mathematics; Discrete mathematics; Applied mathematics; Mathematical optimization; Fuzzy set; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002058113,0.0001414085,0.000502181,0.0001770676,0.0002226241,0.00001326469,0.0002933954,0.00005211041,0.00002262963],"category_scores_gemma":[0.001584986,0.0000981805,0.0000745248,0.0006709499,0.0003957369,0.0001275847,0.0001905209,0.00006631077,0.0000194679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007306476,"about_ca_system_score_gemma":0.00003291087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003673615,"about_ca_topic_score_gemma":0.00004636124,"domain_scores_codex":[0.9982176,0.0001015358,0.0006651304,0.0002549119,0.0004172863,0.0003435038],"domain_scores_gemma":[0.9989357,0.0004865644,0.0001688245,0.0002227902,0.0001215733,0.00006452591],"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":[0.000008300652,0.0001375908,0.0001646064,0.0010459,0.00003722245,0.000002791383,0.01240052,0.0003063285,0.00004254455,0.9855627,0.0001842547,0.0001071773],"study_design_scores_gemma":[0.0009295814,0.0005992534,0.0002405379,0.005030158,0.0001415991,0.00002762707,0.2126232,0.05306647,0.0006999123,0.7259578,0.00004239613,0.000641522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5273401,0.002049092,0.1749438,0.000534153,0.001310052,0.003350551,0.00003980157,0.000392412,0.2900401],"genre_scores_gemma":[0.8393089,0.00001008173,0.160412,0.000005390572,0.00004829124,0.00007076153,1.52094e-7,0.000009228071,0.0001352734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3119687,"threshold_uncertainty_score":0.4003685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.374377224881545,"score_gpt":0.4059188423258936,"score_spread":0.03154161744434864,"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."}}