{"id":"W2067100859","doi":"10.1002/cjs.11240","title":"Improved transformation‐based quantile regression","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; University College London","keywords":"Estimator; Quantile; Bounded function; Transformation (genetics); Monotone polygon; Mathematics; Range (aeronautics); Variable (mathematics); Applied mathematics; Conditional expectation; Computer science; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000734071,0.000113381,0.0002573568,0.0001735217,0.00007440005,0.00005643185,0.000177477,0.00006545377,0.0002548311],"category_scores_gemma":[0.004965539,0.00008812374,0.0000413679,0.0001319807,0.0000932972,0.00008576606,0.000003038128,0.0002179323,0.000008553169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266461,"about_ca_system_score_gemma":0.002000135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006083839,"about_ca_topic_score_gemma":0.002532991,"domain_scores_codex":[0.9988269,0.000108429,0.0005306386,0.00006708014,0.0002256166,0.0002413474],"domain_scores_gemma":[0.9972476,0.0006570773,0.0002823081,0.0001315225,0.0007200538,0.000961388],"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":[0.00007522447,0.00004757712,0.0005046107,0.0001493622,0.00003945525,0.0002457789,0.00205514,0.00003661373,0.0001554413,0.828108,0.1123623,0.05622053],"study_design_scores_gemma":[0.001909118,0.000835453,0.0006376655,0.0002900263,0.0001293774,0.0001223764,0.0009255845,0.03592775,0.0009970744,0.9381113,0.01976265,0.0003516014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00338397,0.00006498495,0.9933762,0.0003336204,0.0005063281,0.00008326487,0.0004363081,0.000006201496,0.001809104],"genre_scores_gemma":[0.253414,0.000002780886,0.7462679,0.0001430585,0.00007667869,0.000001157197,0.000006013837,0.00001546997,0.00007291894],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.25003,"threshold_uncertainty_score":0.5944572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.146787285663717,"score_gpt":0.3587578705373196,"score_spread":0.2119705848736026,"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."}}