{"id":"W4396791663","doi":"10.1016/j.fss.2024.109009","title":"Generalized extended Bonferroni means for isomorphic membership grades","year":2024,"lang":"en","type":"article","venue":"Fuzzy Sets and Systems","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Mathematics; Bonferroni correction; Combinatorics; Statistics; Discrete 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004866649,0.0002767991,0.0006082255,0.0004525065,0.0002727932,0.002682446,0.0005509008,0.0001645606,0.0002542521],"category_scores_gemma":[0.001166368,0.0001826455,0.0002219089,0.0004963844,0.00008990631,0.0003829514,0.0001210786,0.0001422354,0.0002594579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004602573,"about_ca_system_score_gemma":0.00008301635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001321938,"about_ca_topic_score_gemma":0.00007989883,"domain_scores_codex":[0.9958513,0.0004062788,0.001033694,0.0009363446,0.001316372,0.0004559591],"domain_scores_gemma":[0.9965081,0.002127982,0.0001639153,0.0006870879,0.0002788779,0.0002340858],"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":[0.0003500107,0.0001437667,0.001958462,0.0007815045,0.0003074444,0.0003325307,0.009330002,0.0007525345,0.008893007,0.3463303,0.5147101,0.1161104],"study_design_scores_gemma":[0.001309259,0.0001368048,0.0009824903,0.0003449409,0.00005826929,0.0002341018,0.0026721,0.3050416,0.00009566217,0.07415237,0.6144207,0.0005517043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786545,0.04426822,0.02622993,0.006169376,0.0254815,0.004237991,0.001538937,0.000926405,0.01249308],"genre_scores_gemma":[0.9906042,0.00004173129,0.001572331,0.0001441413,0.0004318343,0.0001254982,0.00002176107,0.0000335259,0.007024973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3042891,"threshold_uncertainty_score":0.9983529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2753222846695139,"score_gpt":0.433865728471085,"score_spread":0.1585434438015711,"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."}}