{"id":"W2132327020","doi":"10.1109/fuzzy.2009.5277160","title":"New perspectives and applications of real-time fuzzy regression","year":2009,"lang":"en","type":"article","venue":"","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Universiti Tun Hussein Onn Malaysia","keywords":"Convex hull; Hull; Computer science; Fuzzy logic; Linear regression; Regression; Regression analysis; Data mining; Mathematical optimization; Algorithm; Regular polygon; Artificial intelligence; Mathematics; Machine learning; Statistics; Engineering","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":[0.001966391,0.0007247753,0.0008728785,0.001206357,0.0003148573,0.001502421,0.001213276,0.0009368106,0.003207207],"category_scores_gemma":[0.004446101,0.0002803679,0.001006623,0.001523267,0.001374847,0.002000871,0.0007704933,0.001526248,0.0005681945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007505871,"about_ca_system_score_gemma":0.0005004887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632926,"about_ca_topic_score_gemma":0.001002002,"domain_scores_codex":[0.9989792,0.0004089896,0.0000452354,0.0001732288,0.0003463117,0.00004705379],"domain_scores_gemma":[0.9978955,0.001341316,0.000160524,0.0002119021,0.0003314064,0.000059366],"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":[0.000112783,0.0000640487,0.0009088934,0.0003582705,0.00008029439,0.0002975762,0.0002726306,0.1776992,0.005529667,0.6105111,0.002669708,0.2014959],"study_design_scores_gemma":[0.00001247681,0.00004806674,0.0004694914,0.0000554299,0.00002506368,0.00018453,0.0000871235,0.7412859,0.002485317,0.2355377,0.01977014,0.00003882146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004243496,0.005335667,0.9842719,0.0009876376,0.0001688416,0.000008911565,0.00002492624,0.0001246361,0.004833956],"genre_scores_gemma":[0.3105921,0.01411234,0.664587,0.0004513931,0.001489707,0.00006036009,0.0001051526,0.0001692059,0.008432824],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003207207,"threshold_uncertainty_score":0.01072919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147661128137734,"score_gpt":0.2882803039433098,"score_spread":0.2735141911295364,"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."}}