{"id":"W2044565829","doi":"10.1109/nafips.2006.365437","title":"Partition Mapping based on Abstract Approximation Spaces","year":2006,"lang":"en","type":"article","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Partition (number theory); Computer science; Rough set; Artificial neural network; Theoretical computer science; Factor (programming language); Artificial intelligence; Data mining; Mathematics; Combinatorics","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":[0.001169241,0.0004078331,0.0006895455,0.00137964,0.0004561624,0.002014881,0.0006644555,0.0003949823,0.002446313],"category_scores_gemma":[0.005501244,0.0002295842,0.0007717983,0.001129828,0.001466006,0.002483415,0.00166608,0.001135147,0.0003329609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007507771,"about_ca_system_score_gemma":0.0004988294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009832053,"about_ca_topic_score_gemma":0.0006804563,"domain_scores_codex":[0.9989097,0.0003805733,0.0000489402,0.0001687771,0.0004219969,0.00006997762],"domain_scores_gemma":[0.9989415,0.0005509995,0.000088342,0.0002201532,0.0001462945,0.00005268601],"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":[0.0001342078,0.00002787117,0.0004993539,0.0001025212,0.00005590548,0.000082651,0.0004850922,0.1917847,0.005071653,0.6993741,0.001009425,0.1013727],"study_design_scores_gemma":[0.00001882835,0.00006648431,0.0002908197,0.00002830421,0.00002109447,0.00008268292,0.0001099401,0.6051539,0.002343837,0.3864307,0.005434847,0.00001867481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01372163,0.0001652775,0.9832506,0.00008300394,0.00003069313,0.00002964266,0.00002948112,0.0001615379,0.002528203],"genre_scores_gemma":[0.4803594,0.0006587096,0.5156358,0.00008343009,0.00006972413,0.0001750958,0.0001795215,0.0001121255,0.002726157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002446313,"threshold_uncertainty_score":0.008183777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174540791642718,"score_gpt":0.2175227517004868,"score_spread":0.1957773437840596,"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."}}