{"id":"W1977122250","doi":"10.5539/cis.v3n1p152","title":"A Knowledge Innovation Algorithm Based on Granularity","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Granularity; Computer science; Knowledge base; Consistency (knowledge bases); sort; Granular computing; Knowledge space; Partition (number theory); Rough set; Algorithm; Data mining; Theoretical computer science; Measure (data warehouse); Artificial intelligence; Mathematics; Knowledge management; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001590989,0.0005233266,0.001162983,0.002164152,0.001278938,0.001846803,0.001736657,0.001406198,0.002560194],"category_scores_gemma":[0.004922048,0.0003607198,0.001159142,0.002518232,0.000958143,0.002917255,0.002574555,0.001143606,0.0004717253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214641,"about_ca_system_score_gemma":0.001760461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003393052,"about_ca_topic_score_gemma":0.001432508,"domain_scores_codex":[0.9984646,0.0002291138,0.000150639,0.0004077991,0.0005734502,0.0001743269],"domain_scores_gemma":[0.9986243,0.0005390064,0.0001330582,0.0002051323,0.0004073677,0.00009103318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002404746,0.000103759,0.00245513,0.0002127395,0.000145062,0.0001585645,0.0004314737,0.2066847,0.007384059,0.06871465,0.004692824,0.7087765],"study_design_scores_gemma":[0.0001224033,0.00008855075,0.0005658175,0.00003505061,0.00005912257,0.0001817968,0.00008639757,0.9474541,0.004937398,0.03963904,0.006797358,0.00003303722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01750834,0.0003084413,0.9777489,0.0002503354,0.00009315908,0.0001190039,0.00006082709,0.0006949279,0.003216153],"genre_scores_gemma":[0.2808207,0.0003461014,0.7146324,0.0001399653,0.00009192071,0.0003016737,0.000265074,0.00008766259,0.003314532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003393052,"threshold_uncertainty_score":0.008812845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416924665070338,"score_gpt":0.25616078415722,"score_spread":0.2419915375065167,"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."}}