{"id":"W4409187794","doi":"10.1002/9781394294404.ch5","title":"Robustness of Penalty Estimators","year":2025,"lang":"en","type":"other","venue":"","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of British Columbia","funders":"","keywords":"Robustness (evolution); Estimator; Computer science; Mathematical optimization; Mathematics; Statistics; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001025143,0.0001515138,0.0004514921,0.00009363232,0.000009047211,0.000002906267,0.0001237545,0.0001555447,0.004771582],"category_scores_gemma":[0.000650275,0.0001149087,0.00006146645,0.00006690106,0.00005156491,0.000007622339,0.00005130933,0.00009748659,0.000003997571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000892585,"about_ca_system_score_gemma":0.00005534399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000303828,"about_ca_topic_score_gemma":0.00002158417,"domain_scores_codex":[0.9993292,0.0000362292,0.0002155806,0.0001765465,0.0001236436,0.000118813],"domain_scores_gemma":[0.998965,0.0005220256,0.0001435024,0.0002928223,0.00003688296,0.00003972033],"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":[0.000002012534,0.00002856663,5.161435e-7,0.0005301115,0.00002835756,0.000001202638,0.000001791654,0.00003828101,9.10354e-7,0.6200871,0.372965,0.006316131],"study_design_scores_gemma":[0.0002716666,0.00002482954,6.935068e-7,0.0008685447,0.0001520292,0.00000102858,0.00001648296,0.008007393,0.0001208145,0.9061164,0.08410111,0.0003189587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[9.529646e-8,0.00003120929,0.5209499,0.000008128736,0.00009885199,0.00009537949,0.0000514737,0.00006148198,0.4787035],"genre_scores_gemma":[0.000002069275,0.00001024552,0.5187715,0.00000726173,0.00002946251,0.000004813885,0.000001921608,0.00007662892,0.4810961],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2888639,"threshold_uncertainty_score":0.9961382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028850592259421,"score_gpt":0.4546575579195232,"score_spread":0.3517724986935811,"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."}}