{"id":"W4292470341","doi":"10.1111/exsy.13118","title":"Subgroup mining for performance analysis of regression models","year":2022,"lang":"en","type":"article","venue":"Expert Systems","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Relevance (law); Machine learning; Regression analysis; Boosting (machine learning); Multivariate statistics; Artificial intelligence; Regression; Data mining; Ask price; Field (mathematics); Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007458751,0.000118898,0.0003387669,0.000393338,0.0003852232,0.00006292614,0.0009426127,0.00003253793,0.00001648547],"category_scores_gemma":[0.00002339454,0.0001078536,0.0001554771,0.001385639,0.00002282548,0.0005195252,0.0002946464,0.00006320141,0.000002619287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123123,"about_ca_system_score_gemma":0.00004562772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003780717,"about_ca_topic_score_gemma":0.000009537033,"domain_scores_codex":[0.9983318,0.0001152149,0.0004407517,0.0003779279,0.0004508792,0.0002833813],"domain_scores_gemma":[0.998746,0.0001667487,0.0002378486,0.0006688882,0.0001234839,0.0000570692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006720111,0.0001834582,0.001536157,0.00009918792,0.000384615,0.00001002401,0.03747028,0.8494026,0.01123889,0.08374617,0.0053663,0.01049509],"study_design_scores_gemma":[0.00005821192,0.0001303192,0.00002988048,0.0000237015,0.00001822534,0.000003533459,0.002994865,0.9867598,0.006272489,0.0001008149,0.003476427,0.0001317565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2738908,0.001490942,0.7219644,0.0001258847,0.001029053,0.0003816902,0.000009175277,0.0001047807,0.001003218],"genre_scores_gemma":[0.9939501,0.00001708902,0.004863633,0.0000670333,0.00005540407,0.0003812895,0.000008608838,0.00001068295,0.0006461099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7200593,"threshold_uncertainty_score":0.4398143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06178322080277712,"score_gpt":0.3001182961107102,"score_spread":0.238335075307933,"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."}}