{"id":"W4205927369","doi":"10.1016/j.csda.2021.107419","title":"Distributed adaptive Huber regression","year":2022,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Regression; Regression analysis; Multivariate adaptive regression splines; Statistics; Econometrics; Computer science; Mathematics; Nonparametric regression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005699632,0.00109399,0.002475051,0.001048103,0.0008405902,0.001534624,0.002776052,0.002005236,0.005547517],"category_scores_gemma":[0.01900208,0.0008835571,0.001254226,0.001917144,0.0014927,0.00191174,0.002656178,0.002936392,0.002773958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049839,"about_ca_system_score_gemma":0.002361423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004188789,"about_ca_topic_score_gemma":0.005193114,"domain_scores_codex":[0.9969848,0.001514537,0.00009868514,0.000761392,0.0004406598,0.0001998918],"domain_scores_gemma":[0.9906188,0.005069486,0.0004460578,0.00229612,0.001350996,0.0002186859],"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":[0.0003565373,0.0001095897,0.001896207,0.0001422397,0.0002138429,0.0001157233,0.00009903479,0.6732251,0.002259706,0.1153724,0.01066826,0.1955413],"study_design_scores_gemma":[0.00001951477,0.00001753446,0.000204816,0.000006670073,0.00001472968,0.00001704509,0.000005262426,0.9783383,0.0004275351,0.01986027,0.001078914,0.000009419956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00436787,0.0002591544,0.9933123,0.0002821488,0.00009285498,0.00002724799,0.00009540353,0.0006506958,0.0009122249],"genre_scores_gemma":[0.3903344,0.0008764224,0.5817749,0.000505373,0.00079255,0.0003717945,0.001154023,0.0005788154,0.02361164],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005699632,"threshold_uncertainty_score":0.0301429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07218353233010939,"score_gpt":0.3690273349082471,"score_spread":0.2968438025781377,"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."}}