{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01197016,0.001001206,0.001459913,0.001598812,0.0005204232,0.001381646,0.002220254,0.000955864,0.006271519],"category_scores_gemma":[0.05132772,0.0004877555,0.001121314,0.002240154,0.001275821,0.00216269,0.001889558,0.002327877,0.001164609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000867487,"about_ca_system_score_gemma":0.001362824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006299829,"about_ca_topic_score_gemma":0.005232414,"domain_scores_codex":[0.9898418,0.007416626,0.0002206522,0.001074743,0.001141217,0.0003051111],"domain_scores_gemma":[0.9719821,0.01948701,0.002713674,0.002225701,0.003192988,0.0003985456],"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":[0.00065354,0.0002695781,0.03143415,0.0004671939,0.0005822484,0.0002871805,0.0004650579,0.3961569,0.001347343,0.2614471,0.009263061,0.2976266],"study_design_scores_gemma":[0.00003338676,0.0001062908,0.005744853,0.00007256466,0.00005325033,0.00007654085,0.00007842123,0.9014995,0.0005637556,0.08844904,0.003278569,0.00004384541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02394069,0.0002372242,0.9729722,0.0002917723,0.00004427526,0.00006816234,0.0002326278,0.0003066538,0.001906476],"genre_scores_gemma":[0.6744516,0.0005637226,0.3160457,0.0003066019,0.0001684794,0.0003708086,0.001263754,0.0002635203,0.006565905],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01197016,"threshold_uncertainty_score":0.06330502,"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."}}