{"id":"W1185202972","doi":"","title":"The Rise of Granular Computing","year":2008,"lang":"en","type":"article","venue":"Journal of Chongqing University of Posts and Telecommunications","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Granular computing; Scope (computer science); Computer science; Computation; Theoretical computer science; Artificial intelligence; Algorithm; Programming language; Rough set","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":[0.007979879,0.0007240343,0.001811563,0.004113673,0.003089096,0.01136182,0.001589037,0.003457883,0.003421907],"category_scores_gemma":[0.02098211,0.0009964083,0.001625085,0.003183352,0.01759381,0.01586591,0.006997338,0.009090538,0.0005110379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006354035,"about_ca_system_score_gemma":0.002444481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002961616,"about_ca_topic_score_gemma":0.001556415,"domain_scores_codex":[0.9927586,0.002688021,0.0005041542,0.001273234,0.002256691,0.0005191535],"domain_scores_gemma":[0.9880194,0.007488307,0.0004879824,0.001893942,0.001486148,0.0006241407],"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":[0.00001477212,0.000005603063,0.0001731927,0.00006351158,0.00001102814,0.00005341697,0.0003042474,0.001476846,0.0001179376,0.9893789,0.000871531,0.007529022],"study_design_scores_gemma":[0.000008126494,0.000009884978,0.000171717,0.00008354992,0.000009975513,0.00006833109,0.0001480453,0.005844295,0.0001585564,0.9750889,0.01838822,0.00002034808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03154009,0.05219908,0.6890577,0.06280447,0.002661859,0.0002345323,0.0004254075,0.0007277097,0.1603491],"genre_scores_gemma":[0.6987594,0.02029646,0.2620384,0.005540632,0.002823518,0.0003907593,0.0002104301,0.0002229038,0.009717517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01136182,"threshold_uncertainty_score":0.04610199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501163333706452,"score_gpt":0.2072365259134021,"score_spread":0.1922248925763375,"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."}}