{"id":"W2162033093","doi":"","title":"Near Sets. Special Theory about Nearness of Objects","year":2007,"lang":"en","type":"article","venue":"Fundamenta Informaticae","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Closeness; Rough set; Extension (predicate logic); Mathematics; Relation (database); Context (archaeology); Set (abstract data type); Term (time); Object (grammar); Theoretical computer science; Algorithm; Computer science; Artificial intelligence; Data mining; Mathematical analysis","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":[0.004144716,0.001229783,0.001862805,0.005520459,0.001910694,0.006331543,0.00255224,0.002967547,0.00278384],"category_scores_gemma":[0.01087205,0.0009597889,0.003459091,0.00365109,0.0101656,0.01254041,0.004668516,0.004350324,0.001016478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002899832,"about_ca_system_score_gemma":0.001052893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379378,"about_ca_topic_score_gemma":0.0009496518,"domain_scores_codex":[0.9930146,0.001915198,0.0007703222,0.001932712,0.002023896,0.0003433106],"domain_scores_gemma":[0.9934072,0.003724277,0.0007829752,0.001024299,0.0007645204,0.0002965712],"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":[0.00001374649,0.000009274943,0.0002232441,0.0001665864,0.00003235301,0.0001042379,0.0003602708,0.005555694,0.0004125262,0.982954,0.0008854172,0.009282594],"study_design_scores_gemma":[0.00000973531,0.00004771494,0.0002511503,0.0001129502,0.00003402452,0.0002963128,0.0002045158,0.0242618,0.0005062813,0.9490737,0.02517024,0.00003155077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01357828,0.008802138,0.9478461,0.00156273,0.0005122179,0.0001261559,0.0004684588,0.000215197,0.0268888],"genre_scores_gemma":[0.4320928,0.01105624,0.5331118,0.001777948,0.002075706,0.0008526477,0.00171999,0.0002676871,0.01704507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006331543,"threshold_uncertainty_score":0.02191961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126339547471086,"score_gpt":0.2519032803148338,"score_spread":0.2392693255677252,"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."}}