{"id":"W1531714509","doi":"10.5555/1366071.1366089","title":"Nearness of Objects: Extension of Approximation Space Model","year":2007,"lang":"en","type":"article","venue":"Fundamenta Informaticae","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Disjoint sets; Rough set; Extension (predicate logic); Relation (database); Mathematics; Space (punctuation); Focus (optics); Set (abstract data type); Feature (linguistics); Discrete mathematics; Pure mathematics; Computer science; Artificial intelligence; Data mining","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":[0.003327989,0.0007040969,0.00153467,0.002439678,0.0009836935,0.003772111,0.002788682,0.002106372,0.00310367],"category_scores_gemma":[0.01086133,0.0004423932,0.002230803,0.002474909,0.003783662,0.01015765,0.00440506,0.003086122,0.0004910883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001804173,"about_ca_system_score_gemma":0.0007224607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002606709,"about_ca_topic_score_gemma":0.0009035032,"domain_scores_codex":[0.9956398,0.001300268,0.0002847653,0.001156677,0.001337272,0.000281262],"domain_scores_gemma":[0.99542,0.00210988,0.0006245497,0.0009604027,0.0005885694,0.0002966525],"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":[0.00006643868,0.00003166408,0.0008675922,0.0001236555,0.0000501985,0.0002328893,0.0005727925,0.05569125,0.000913983,0.9181184,0.0006341939,0.02269699],"study_design_scores_gemma":[0.00001823206,0.0001080813,0.0004355227,0.00005555716,0.00003992126,0.0003758883,0.0001883291,0.3676404,0.0004953248,0.6241733,0.006435178,0.0000341853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03661879,0.001333258,0.952136,0.0008504037,0.00009318197,0.00004877539,0.0001597608,0.0001474163,0.008612329],"genre_scores_gemma":[0.7493503,0.002045984,0.2389404,0.0002803709,0.000286315,0.0001781914,0.000382529,0.00007449857,0.008461474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003772111,"threshold_uncertainty_score":0.01760036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202444320491736,"score_gpt":0.2556086373883603,"score_spread":0.2335841941834429,"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."}}