{"id":"W4406171990","doi":"10.61091/um121-04","title":"Introducing Soft Directed Hypergraphs: A Fusion of Soft Set Theory and Directed Hypergraphs","year":2024,"lang":"en","type":"article","venue":"Utilitas Mathematica","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soft set; Mathematics; Set (abstract data type); 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":[0.002859864,0.0008323708,0.0007571512,0.004588237,0.001249088,0.004017757,0.001378653,0.001476382,0.003921726],"category_scores_gemma":[0.005053428,0.0005978126,0.001305092,0.004417303,0.005187933,0.009458936,0.003644038,0.003109452,0.0007439811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001824678,"about_ca_system_score_gemma":0.001270774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503892,"about_ca_topic_score_gemma":0.001979973,"domain_scores_codex":[0.9976193,0.001021686,0.0001647084,0.0004749177,0.0006102326,0.0001091151],"domain_scores_gemma":[0.9962113,0.001952053,0.0003398032,0.0006695868,0.000553048,0.0002743226],"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":[0.000009885647,0.00001264043,0.0001391524,0.00008114123,0.00001823533,0.0001195578,0.0002867818,0.003984889,0.00120743,0.9776356,0.0005190179,0.01598567],"study_design_scores_gemma":[0.000006145453,0.00001809889,0.0001188892,0.00007407944,0.00001946015,0.0001525777,0.0001274035,0.01815527,0.0008961908,0.9618995,0.01850444,0.00002789841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00525312,0.001041857,0.9772242,0.0006875069,0.0001278955,0.00005403171,0.00008942259,0.000137128,0.01538479],"genre_scores_gemma":[0.2328167,0.003525261,0.75197,0.001078831,0.0004938733,0.0002611147,0.0002888385,0.0001947753,0.009370597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004588237,"threshold_uncertainty_score":0.01512456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370679677414942,"score_gpt":0.3233366576343858,"score_spread":0.2896298608602365,"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."}}