{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01229492,0.001674416,0.002223216,0.007162951,0.0006197108,0.002203003,0.001289933,0.001160846,0.002353291],"category_scores_gemma":[0.05620546,0.0004386922,0.002720443,0.00375816,0.0006146187,0.001569882,0.00145373,0.002270848,0.000501532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009538048,"about_ca_system_score_gemma":0.0008909616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003096126,"about_ca_topic_score_gemma":0.001255027,"domain_scores_codex":[0.9892901,0.005766692,0.0009673453,0.001251239,0.002321559,0.0004031271],"domain_scores_gemma":[0.9339777,0.05303674,0.004102529,0.005286473,0.003191797,0.0004048628],"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":[0.001289017,0.0006076198,0.06394281,0.0007814834,0.0009361863,0.0006658916,0.0008590765,0.5144039,0.008398794,0.0257984,0.005150783,0.377166],"study_design_scores_gemma":[0.00001072949,0.0001259108,0.002286858,0.00002638013,0.00003536305,0.00008012319,0.00006729056,0.985677,0.002345491,0.008757904,0.0005694297,0.0000174538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.129777,0.0005612602,0.8622972,0.0003316315,0.00005858368,0.0002363969,0.00126759,0.004174113,0.001296168],"genre_scores_gemma":[0.7390278,0.0001573171,0.2578331,0.00005251597,0.00005981644,0.0003596958,0.001740813,0.0002579624,0.000510928],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01229492,"threshold_uncertainty_score":0.06502253,"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."}}