{"id":"W2892294644","doi":"10.1016/j.ijar.2018.09.005","title":"Three-way decision and granular computing","year":2018,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":593,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Granular computing; Computer science; Field (mathematics); Artificial intelligence; Mathematics; Rough set","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004876676,0.0009583109,0.002835818,0.00286381,0.001385044,0.007191912,0.00176247,0.001795595,0.004736347],"category_scores_gemma":[0.01389588,0.0007862786,0.002791649,0.005448278,0.002782209,0.008259871,0.003348347,0.002201272,0.0004237226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001820715,"about_ca_system_score_gemma":0.001347043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003674953,"about_ca_topic_score_gemma":0.002461172,"domain_scores_codex":[0.9956269,0.001431319,0.000573107,0.0006231022,0.001308655,0.0004368842],"domain_scores_gemma":[0.9935327,0.003844748,0.0005688136,0.001010542,0.0005992973,0.0004438729],"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":[0.000446978,0.0001514434,0.00154798,0.0003815636,0.0002915022,0.0004405301,0.0003990197,0.1814493,0.001214789,0.7056887,0.002174933,0.1058133],"study_design_scores_gemma":[0.00003143234,0.00003669259,0.0002858609,0.0000372599,0.00006494753,0.00009138209,0.00009268847,0.4329085,0.0005227976,0.5640008,0.00188558,0.00004208259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02620734,0.001202712,0.9660795,0.0006932807,0.0002708894,0.00007410678,0.0001977089,0.0002531817,0.005021345],"genre_scores_gemma":[0.5767007,0.001032982,0.4180217,0.0001648461,0.0001685515,0.0001507651,0.0002788278,0.00006205774,0.003419515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007191912,"threshold_uncertainty_score":0.02579063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417066434871474,"score_gpt":0.2726181675979136,"score_spread":0.2584475032491989,"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."}}