{"id":"W4387378160","doi":"10.1016/j.ijar.2023.109046","title":"On some generalization of rough sets","year":2023,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Generalization; Approximations of π; Base (topology); Algebraic number; Closure (psychology); Rough set; Kernel (algebra); Applied mathematics; Pure mathematics; Mathematical analysis; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059892,0.0008164253,0.001858211,0.003059711,0.001573912,0.003329358,0.001591444,0.001209655,0.002925059],"category_scores_gemma":[0.01349369,0.0006301389,0.003470304,0.003314878,0.003245357,0.007437059,0.00244789,0.003762492,0.0003714111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002191061,"about_ca_system_score_gemma":0.0009983743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002454809,"about_ca_topic_score_gemma":0.001673161,"domain_scores_codex":[0.9970728,0.001072342,0.00028204,0.0005406085,0.0008594135,0.0001727975],"domain_scores_gemma":[0.9935092,0.004021297,0.0004588024,0.0009262602,0.0008319676,0.0002523451],"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":[0.00001386731,0.000009871834,0.0001381693,0.0000586531,0.00003391669,0.00006956665,0.0001965893,0.004845986,0.0001638316,0.9855746,0.001101844,0.007793023],"study_design_scores_gemma":[0.000007104582,0.00001499536,0.0001621052,0.00002624424,0.00001857146,0.00006065804,0.00003772436,0.02075878,0.00007285923,0.9750361,0.003792098,0.0000127775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02789663,0.006719082,0.9251983,0.004298244,0.0008777725,0.00006680311,0.0002973114,0.0001380455,0.03450784],"genre_scores_gemma":[0.579428,0.01012035,0.3891591,0.001927705,0.002727608,0.0003185045,0.0006140701,0.0001159689,0.01558857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0059892,"threshold_uncertainty_score":0.03167427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037719214898472,"score_gpt":0.2876972065334415,"score_spread":0.2673200143844568,"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."}}