{"id":"W96192410","doi":"10.1007/978-3-540-71663-1_17","title":"A Note on Definability and Approximations","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Interpretation (philosophy); Rough set; Approximations of π; Set (abstract data type); Mathematics; Set theory; Discrete mathematics; Algebra over a field; Pure mathematics; Computer science; Applied mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004095679,0.001216943,0.002354842,0.003067297,0.002510809,0.005275805,0.002177771,0.001884636,0.006088198],"category_scores_gemma":[0.008378401,0.001165333,0.003513368,0.00466129,0.01065466,0.01593083,0.003556948,0.01205635,0.001281499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004662571,"about_ca_system_score_gemma":0.001229671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003446918,"about_ca_topic_score_gemma":0.002788921,"domain_scores_codex":[0.9973934,0.0008312502,0.0002409521,0.0004837047,0.0009238478,0.0001268245],"domain_scores_gemma":[0.9949824,0.003964169,0.000100665,0.000485856,0.0003832888,0.00008370684],"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":[0.000009443063,0.000005885314,0.00002788186,0.00007640887,0.00000807059,0.00002068892,0.000132381,0.0003921201,0.00008818678,0.9862598,0.004774828,0.008204359],"study_design_scores_gemma":[0.000003551795,0.000006518226,0.0000400978,0.00003327567,0.000008874084,0.00003064157,0.00002655519,0.0007455104,0.00008192738,0.9732126,0.02580399,0.00000647353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007143443,0.1451307,0.5290095,0.03207012,0.01289197,0.000108637,0.0006675603,0.0003497841,0.2726283],"genre_scores_gemma":[0.2926617,0.1223343,0.4495001,0.01073484,0.02810919,0.000588321,0.001383312,0.0006462305,0.09404212],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006088198,"threshold_uncertainty_score":0.03382951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894631236430334,"score_gpt":0.2669762603665573,"score_spread":0.238029948002254,"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."}}