{"id":"W2293768392","doi":"","title":"Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013","year":2013,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Granular computing; Rough set; Soft computing; Cluster analysis; Computer science; Data mining; Fuzzy set; Fuzzy logic; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001879562,0.001118811,0.002071311,0.002168706,0.000572968,0.005945368,0.001286612,0.001028023,0.0282758],"category_scores_gemma":[0.003199751,0.0007794659,0.0009117351,0.005774993,0.001384795,0.00412002,0.001811748,0.002331495,0.009639668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866653,"about_ca_system_score_gemma":0.002387308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007217519,"about_ca_topic_score_gemma":0.008013946,"domain_scores_codex":[0.998957,0.0001579376,0.00007833039,0.0001583305,0.0005942992,0.00005392834],"domain_scores_gemma":[0.9986358,0.0006528895,0.00005295173,0.0002230737,0.0003387353,0.00009656427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001009155,0.00006661694,0.0002053426,0.0009787066,0.0000644793,0.0001060146,0.0001678839,0.004769616,0.001858065,0.06286705,0.348179,0.5806363],"study_design_scores_gemma":[0.00003055504,0.00007140177,0.001246143,0.0008149837,0.00005992859,0.0005424152,0.0001911842,0.0170444,0.001217488,0.08093619,0.8977836,0.00006170057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005452598,0.3416366,0.4216569,0.01133108,0.01208909,0.000398745,0.00208775,0.003843548,0.2015036],"genre_scores_gemma":[0.03729682,0.2831089,0.3296655,0.001743867,0.004698207,0.0003620937,0.003825183,0.001222307,0.3380771],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9927825,"threshold_uncertainty_score":0.09459203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03965598005410816,"score_gpt":0.249816491546139,"score_spread":0.2101605114920308,"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."}}