{"id":"W4414116524","doi":"10.1002/cjs.70018","title":"Bayesian weighted composite linear expectile regression","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outlier; Bayesian probability; Linear regression; Markov chain Monte Carlo; Regression; Markov chain; Robust regression; Linear model; Monte Carlo method","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003334094,0.0001394891,0.0003471487,0.0002919322,0.0001671517,0.00005291645,0.0002289565,0.0000835232,0.000562187],"category_scores_gemma":[0.002267409,0.0001127256,0.00005217426,0.0002420781,0.0001257146,0.00004502363,0.00001321968,0.0003237202,0.000007074863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366889,"about_ca_system_score_gemma":0.000975817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005126564,"about_ca_topic_score_gemma":0.001654432,"domain_scores_codex":[0.9987424,0.0001348501,0.0005669019,0.0001092726,0.000173202,0.0002734008],"domain_scores_gemma":[0.9973443,0.001244975,0.0002593078,0.0001826721,0.0004805117,0.0004882656],"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":[0.00003305782,0.00003733973,0.002588566,0.0001276182,0.00008650735,0.0005198657,0.0004417797,0.000003794949,0.0001853852,0.8137546,0.1342717,0.04794987],"study_design_scores_gemma":[0.0005383216,0.0001564444,0.002179412,0.000627413,0.0001219045,0.0000678404,0.0002194719,0.004862065,0.0008557255,0.9736611,0.01651472,0.0001955265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003063883,0.0002014356,0.9897171,0.0003617088,0.0007204217,0.0000771268,0.0002979916,0.000007914364,0.005552406],"genre_scores_gemma":[0.1175114,0.00001941831,0.8813736,0.0002359227,0.0001114511,0.000001290014,0.000004509294,0.00001616728,0.0007261889],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1599066,"threshold_uncertainty_score":0.6155553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04938348541850549,"score_gpt":0.3416443434122005,"score_spread":0.2922608579936949,"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."}}