{"id":"W3118218782","doi":"","title":"Ultra-High Dimensional Single-Index Quantile Regression","year":2020,"lang":"en","type":"article","venue":"CityU Scholars","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Index (typography); Quantile regression; Statistics; Regression; Mathematics; Quantile; Econometrics; Computer science","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":[0.003545589,0.0007685851,0.001561938,0.0005431519,0.0004217009,0.001669638,0.002847746,0.001466968,0.002828882],"category_scores_gemma":[0.009815275,0.000600997,0.001070928,0.00163765,0.001571675,0.00209004,0.001939754,0.00281644,0.0005523633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022284,"about_ca_system_score_gemma":0.000961544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004649907,"about_ca_topic_score_gemma":0.003421873,"domain_scores_codex":[0.9983557,0.000677844,0.00006840199,0.0004308335,0.0002662957,0.0002008001],"domain_scores_gemma":[0.9950402,0.002625388,0.0009530968,0.0007203613,0.0004406493,0.0002202649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001131242,0.00008627651,0.009524441,0.0001846284,0.0001343215,0.000453367,0.0001824997,0.7126852,0.001288619,0.2371035,0.002543443,0.03570063],"study_design_scores_gemma":[0.000009902108,0.00002061808,0.001150997,0.00001361557,0.00001750105,0.00004927173,0.00002382578,0.9521083,0.0001864212,0.04536037,0.001042615,0.00001654143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03654206,0.0004954928,0.9596092,0.0008302653,0.00004718739,0.00003184065,0.0004603027,0.0001890304,0.001794684],"genre_scores_gemma":[0.8460268,0.001376693,0.1432397,0.0006111904,0.0002448246,0.0002109144,0.0009384796,0.00010539,0.007246015],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004649907,"threshold_uncertainty_score":0.01875108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300614187877281,"score_gpt":0.3675802940496404,"score_spread":0.2375188752619123,"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."}}