{"id":"W2222888818","doi":"10.1007/11574798","title":"Transactions on Rough Sets IV","year":2005,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Rough set; Computer science; Business; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006192459,0.0005854611,0.0005280562,0.0007582367,0.0004005619,0.0007244277,0.004323575,0.0004055474,0.00004151469],"category_scores_gemma":[0.00002247571,0.0004969576,0.0001972683,0.001313458,0.000477058,0.0007039238,0.0002374791,0.001214728,0.0002125711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006303941,"about_ca_system_score_gemma":0.001080952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001417781,"about_ca_topic_score_gemma":0.0000617401,"domain_scores_codex":[0.9955922,0.00006643142,0.0004816637,0.001793332,0.001164464,0.0009019339],"domain_scores_gemma":[0.9972573,0.0004336782,0.0001984299,0.001765212,0.000123309,0.0002220772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003000278,0.00006302999,0.000001538554,0.00001225916,0.000005854241,0.00005825053,0.0004633289,0.1244386,0.000002929046,0.0008107842,0.0003063445,0.8738341],"study_design_scores_gemma":[0.000331598,0.0003432453,0.00006896241,0.0002480857,0.000008093075,0.00009947584,8.676037e-8,0.9202941,0.0002140794,0.06175507,0.01579401,0.0008431759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000012665,0.0002744466,0.9813331,0.001715522,0.002472453,0.0003552101,0.000009101833,0.0002677411,0.01355981],"genre_scores_gemma":[0.03753247,0.0001008331,0.9513445,0.008127894,0.001016719,0.00002740388,0.000008282791,0.00005024467,0.001791647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8729909,"threshold_uncertainty_score":0.9997482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709651034703637,"score_gpt":0.2481352235547547,"score_spread":0.2310387132077183,"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."}}