{"id":"W4397290344","doi":"10.1007/s40815-023-01633-8","title":"Introduction to q-Fractional Fuzzy Set","year":2024,"lang":"en","type":"article","venue":"International Journal of Fuzzy Systems","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computational intelligence; Set (abstract data type); Mathematics; Fuzzy logic; Computer science; Artificial intelligence","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":[0.001199049,0.0001707448,0.0002961061,0.0006708434,0.00005001232,0.0004526146,0.0003814997,0.0001004084,0.000159001],"category_scores_gemma":[0.00053539,0.0001408411,0.0001947652,0.0002907174,0.00001880236,0.0006165893,0.00004596443,0.0002684387,0.000183833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004256186,"about_ca_system_score_gemma":0.0001576453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004198339,"about_ca_topic_score_gemma":0.000005768013,"domain_scores_codex":[0.9973272,0.0001115258,0.0009922378,0.0002269793,0.001170429,0.0001716428],"domain_scores_gemma":[0.9978483,0.0002711686,0.0003726156,0.0001718576,0.001189159,0.0001468569],"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":[0.0001725666,0.0001185975,0.0001722395,0.0002303011,0.0008378632,0.0002654383,0.001206021,0.02032633,0.001681729,0.1900581,0.7820633,0.002867499],"study_design_scores_gemma":[0.0008454287,0.0003516246,0.0002475787,0.001521759,0.0001347352,0.006442968,0.00136357,0.00832783,0.0004251152,0.03327245,0.9465831,0.0004838386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2391629,0.007190749,0.3084445,0.09473894,0.2960787,0.002320126,0.000676039,0.0008067957,0.05058123],"genre_scores_gemma":[0.9618253,0.00005393842,0.003858727,0.0001177125,0.02877628,0.00001920371,0.0000240083,0.00005646324,0.00526841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7226624,"threshold_uncertainty_score":0.5743333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02987833575016808,"score_gpt":0.3260559311501848,"score_spread":0.2961775954000167,"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."}}