{"id":"W2004759662","doi":"10.1016/j.ins.2009.04.018","title":"Foundations of near sets","year":2009,"lang":"en","type":"article","venue":"Information Sciences","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Perception; Computer science; Artificial intelligence; Set (abstract data type); Mathematics; Representation (politics); Theoretical computer science; Pattern recognition (psychology); Epistemology","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":[0.002217012,0.0006062218,0.001405325,0.002730912,0.002625365,0.005655158,0.001365827,0.001937771,0.007738471],"category_scores_gemma":[0.008527487,0.0006294241,0.0011361,0.002987768,0.0050287,0.008514849,0.003186167,0.003959302,0.001270472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0024019,"about_ca_system_score_gemma":0.001170706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646701,"about_ca_topic_score_gemma":0.0009365876,"domain_scores_codex":[0.9979768,0.0006907402,0.0001130627,0.0004091064,0.0006963722,0.000114034],"domain_scores_gemma":[0.9966132,0.002140208,0.000204161,0.0004302583,0.0004347704,0.0001773372],"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":[0.000003275688,0.000004071776,0.0000346937,0.00002267003,0.000004735331,0.000008151971,0.00006684778,0.0004940312,0.00004171725,0.9953987,0.0005711048,0.003349979],"study_design_scores_gemma":[0.000002389119,0.000002935712,0.00003364907,0.000009915978,0.00000310188,0.0000146758,0.00002415688,0.001284024,0.00002444592,0.9942281,0.004369912,0.00000253271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04211122,0.02576446,0.6820575,0.01065643,0.001029699,0.00009416189,0.0007096885,0.0003027704,0.2372741],"genre_scores_gemma":[0.7629805,0.01798819,0.1667562,0.001857406,0.00241149,0.0003763753,0.000885122,0.0001323829,0.04661248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007738471,"threshold_uncertainty_score":0.02588779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531542003680307,"score_gpt":0.3034031405494786,"score_spread":0.2680877205126756,"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."}}