{"id":"W4392651224","doi":"10.28924/2291-8639-22-2024-47","title":"Strictly Wider Class of Soft Sets via Supra Soft δ-Closure Operator","year":2024,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northern Border University","keywords":"Closure (psychology); Mathematics; Closure operator; Class (philosophy); Operator (biology); Pure mathematics; Algebra over a field; Calculus (dental); Computer science; Artificial intelligence; Orthodontics; Medicine; Political science; Closed set; Law","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":[0.001522962,0.000103869,0.0003274516,0.000959659,0.00007550482,0.0003374856,0.0007622536,0.00006443291,0.0005127893],"category_scores_gemma":[0.0003193378,0.00007189738,0.0004182594,0.001357826,0.000117018,0.0003658142,0.0000859853,0.0001852147,0.00004316973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003182502,"about_ca_system_score_gemma":0.0001222741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001682516,"about_ca_topic_score_gemma":0.00002440365,"domain_scores_codex":[0.9974121,0.00009052426,0.0009583323,0.0002345032,0.001208582,0.00009589834],"domain_scores_gemma":[0.9968964,0.001073061,0.0003814802,0.0002246326,0.001308971,0.0001154362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002485399,0.0009386184,0.1064543,0.00004039606,0.01441491,0.000138479,0.002385392,0.01505604,0.01511682,0.2189451,0.0287987,0.5974627],"study_design_scores_gemma":[0.00106056,0.0002487024,0.05393847,0.0001256729,0.002740956,0.0003314447,0.002184137,0.05191708,0.003893555,0.3457777,0.5371824,0.0005993309],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4069079,0.00314304,0.5788549,0.007820913,0.0005519514,0.0001502993,0.0002687646,0.00002327683,0.002278913],"genre_scores_gemma":[0.9980951,0.0001269854,0.0007454655,0.0002389898,0.0002473743,0.000005849701,0.00001108322,0.00000664837,0.0005224936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5968634,"threshold_uncertainty_score":0.5614683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775828352147748,"score_gpt":0.3739260654595636,"score_spread":0.3461677819380862,"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."}}