{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001417933,0.0005647293,0.000627702,0.0018146,0.001297562,0.003305235,0.0006887981,0.0006346781,0.003433674],"category_scores_gemma":[0.002801185,0.0002728082,0.001138609,0.0008974018,0.004047991,0.004720947,0.002754303,0.001908884,0.0003271187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009806728,"about_ca_system_score_gemma":0.0006007342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006544184,"about_ca_topic_score_gemma":0.0003678807,"domain_scores_codex":[0.9981104,0.0003477327,0.0001554336,0.0005119216,0.0006666095,0.0002079098],"domain_scores_gemma":[0.9982103,0.0006128027,0.0002795017,0.0003081138,0.0003225502,0.0002666421],"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":[0.000042723,0.00001765109,0.0009053832,0.00007884288,0.00002393907,0.0002615859,0.0006585933,0.002095506,0.005170914,0.9798794,0.0003825048,0.01048295],"study_design_scores_gemma":[0.00002329088,0.00009061352,0.001344624,0.00005498787,0.00002951851,0.0007489824,0.0007547822,0.0198663,0.00393607,0.9624865,0.01062307,0.00004115402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3977615,0.001259729,0.5414357,0.0009188062,0.0002587196,0.0001055169,0.0002938908,0.0003262321,0.05763992],"genre_scores_gemma":[0.9575325,0.0003558332,0.03472368,0.0002556826,0.0001269231,0.00009909263,0.0001803232,0.00005400248,0.006671991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003433674,"threshold_uncertainty_score":0.01148677,"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."}}