{"id":"W2186619673","doi":"","title":"RECENT ADVANCES IN GLOBALLY ROBUST INFERENCE METHODS","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Estimator; Robustness (evolution); Outlier; Inference; Robust statistics; Computation; Mathematics; Asymptotic distribution; Computer science; Mathematical optimization; Algorithm; Statistics; Artificial intelligence","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":[0.01387282,0.001687548,0.002923308,0.002594632,0.0005591311,0.002425116,0.002877977,0.001888863,0.003279294],"category_scores_gemma":[0.03536177,0.0009810359,0.002704608,0.002861924,0.002654385,0.0032199,0.003775511,0.004499115,0.001827284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148956,"about_ca_system_score_gemma":0.001304408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041387,"about_ca_topic_score_gemma":0.001098063,"domain_scores_codex":[0.9879901,0.006433696,0.0006080149,0.001803412,0.002914241,0.0002505315],"domain_scores_gemma":[0.970617,0.01948675,0.001505341,0.004620983,0.003487376,0.0002825452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008722465,0.0000333637,0.0009512159,0.0009089268,0.0005867723,0.000143134,0.000183003,0.2732712,0.00250862,0.3383778,0.006495947,0.3764528],"study_design_scores_gemma":[0.00002160718,0.00006767622,0.0006775356,0.0001634096,0.000170095,0.00014851,0.00003830671,0.564208,0.002540214,0.3976499,0.03423956,0.00007512817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005947785,0.003327897,0.9941697,0.0003436117,0.00009537158,0.000009192701,0.00003317581,0.0002020954,0.001224197],"genre_scores_gemma":[0.09887815,0.01456133,0.8778841,0.0008283776,0.001980017,0.0001903379,0.0004433893,0.001012162,0.004222148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01387282,"threshold_uncertainty_score":0.07336736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2087321717592414,"score_gpt":0.5328372679803972,"score_spread":0.3241050962211558,"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."}}