{"id":"W4312888181","doi":"10.2139/ssrn.4263158","title":"Fast Inference for Quantile Regression with Tens of Millions of Observations","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Quantile regression; Inference; Econometrics; Statistics; Regression; Quantile; Regression analysis; Computer science; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005480228,0.000100545,0.0001842453,0.0001403947,0.0003495665,0.0000274953,0.0008360781,0.00002269806,0.00001205737],"category_scores_gemma":[0.00004973574,0.0000742353,0.00007475528,0.0006036345,0.0000471233,0.0002825457,0.0001348077,0.000575955,2.633136e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210711,"about_ca_system_score_gemma":0.002674276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002487371,"about_ca_topic_score_gemma":0.0001060632,"domain_scores_codex":[0.99841,0.00004361494,0.0003054728,0.0001749024,0.0003185321,0.0007474099],"domain_scores_gemma":[0.9989407,0.00009239757,0.0004124703,0.000257554,0.0002516946,0.00004520683],"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":[0.00004224143,0.0001468127,0.004377352,0.00002879117,0.00004963373,0.000001140931,0.0004513536,0.0009999151,0.002345467,0.9815069,0.00008505251,0.009965288],"study_design_scores_gemma":[0.002059387,0.006225624,0.008249395,0.0002357155,0.00007602426,0.0006998676,0.004027629,0.05069939,0.004248,0.9213687,0.001578712,0.0005315286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05887708,0.0004287157,0.9393792,0.0009879841,0.00007495793,0.0001289407,0.00001485769,0.00001611129,0.00009222236],"genre_scores_gemma":[0.9833844,0.0002270627,0.01605557,0.00003215875,0.00001897373,0.00002308607,0.000003254438,0.000007614095,0.0002478552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9245073,"threshold_uncertainty_score":0.474405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848876059355252,"score_gpt":0.2599417369887415,"score_spread":0.241452976395189,"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."}}