{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070661,0.0006924846,0.0007647255,0.001761141,0.001055897,0.001899577,0.0007165144,0.001270615,0.01077241],"category_scores_gemma":[0.002330499,0.0003714159,0.001159297,0.002547259,0.002080594,0.002840544,0.001098637,0.0030178,0.001804983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626228,"about_ca_system_score_gemma":0.0006634732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00162035,"about_ca_topic_score_gemma":0.0008834722,"domain_scores_codex":[0.9995853,0.0001057834,0.00003970933,0.00009520877,0.0001435601,0.00003040305],"domain_scores_gemma":[0.9994127,0.0003392397,0.00003082025,0.0000512832,0.0001379461,0.00002806242],"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":[0.00001589616,0.00001524003,0.00006888575,0.0001519818,0.000008942478,0.0001007718,0.0001527567,0.002421654,0.0008996235,0.9572052,0.005898876,0.03306003],"study_design_scores_gemma":[0.000007072674,0.00002822879,0.000139127,0.00008907731,0.00001193068,0.0002463106,0.00004824094,0.01175285,0.0004944553,0.8059924,0.1811667,0.00002354612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005903097,0.0319802,0.8286082,0.007340353,0.008804766,0.00008467246,0.0005091909,0.0002871189,0.1164824],"genre_scores_gemma":[0.3289577,0.03967418,0.5103218,0.00587095,0.01176818,0.0003737346,0.0004176323,0.0003293218,0.1022866],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01077241,"threshold_uncertainty_score":0.03603727,"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."}}