{"id":"W3018305229","doi":"10.5539/jmr.v12n3p16","title":"α-level Fuzzy Soft Sets","year":2020,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Mathematics; Soft set; Fuzzy logic; Fuzzy set; Set (abstract data type); Discrete mathematics; Artificial intelligence; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001474479,0.0006239177,0.0006457016,0.002663772,0.00116007,0.004242455,0.0007889591,0.000761861,0.004113735],"category_scores_gemma":[0.003713302,0.0003270454,0.0008627006,0.001566788,0.002544209,0.003816234,0.00204299,0.002055398,0.001027165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210583,"about_ca_system_score_gemma":0.0007877211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005179311,"about_ca_topic_score_gemma":0.0004232548,"domain_scores_codex":[0.9978083,0.0004439143,0.0002075418,0.0002731616,0.001085091,0.0001820193],"domain_scores_gemma":[0.9976427,0.0007868509,0.0003844731,0.0002581323,0.0006316121,0.000296219],"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":[0.00009617614,0.0000405195,0.0008548102,0.0002226098,0.00004670037,0.0002230763,0.0003412967,0.007719905,0.005195714,0.9281564,0.001906398,0.05519638],"study_design_scores_gemma":[0.0000251188,0.0001229718,0.0006476594,0.000105227,0.00003244557,0.0004607051,0.0003695244,0.06178851,0.005534125,0.9118698,0.0189682,0.0000757227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07033828,0.001648266,0.8820012,0.0008290182,0.0004719096,0.0001188459,0.0003358509,0.0004236117,0.0438331],"genre_scores_gemma":[0.7190235,0.001230654,0.2651506,0.0006267974,0.0003714551,0.0002196261,0.0003825482,0.00008550249,0.01290928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004242455,"threshold_uncertainty_score":0.01376182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6649141973381227,"score_gpt":0.5396501369882661,"score_spread":0.1252640603498566,"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."}}