{"id":"W4401150963","doi":"10.3934/math.20241122","title":"Weighted expectile average estimation based on CBPS with responses missing at random","year":2024,"lang":"en","type":"article","venue":"AIMS Mathematics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Covariate; Estimator; Statistics; Mathematics; Missing data; Estimation; Linear regression; Normality; Econometrics; Engineering","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":[0.01439184,0.0009591134,0.001728886,0.001240473,0.0003834537,0.0009642062,0.001804712,0.0008718299,0.005516934],"category_scores_gemma":[0.03746983,0.0004241517,0.001586682,0.001756561,0.0009171313,0.002284089,0.002027129,0.00213765,0.0008705599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006474315,"about_ca_system_score_gemma":0.001778503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002509437,"about_ca_topic_score_gemma":0.002023025,"domain_scores_codex":[0.9923017,0.005443022,0.0002728867,0.0008843359,0.0008368637,0.0002610938],"domain_scores_gemma":[0.9860901,0.009238459,0.001075921,0.00170677,0.001626004,0.0002627655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006662863,0.0003026696,0.01398291,0.0007906681,0.0008005172,0.0003991674,0.000572902,0.2260038,0.005417009,0.2722201,0.007492959,0.471351],"study_design_scores_gemma":[0.00006537354,0.0002257988,0.003037822,0.00007456365,0.000148578,0.0001686573,0.00006734742,0.915822,0.001952646,0.07339308,0.004993065,0.00005105066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005602026,0.0001199097,0.9935126,0.00008077537,0.0000422528,0.00003831501,0.00006786094,0.0001203335,0.0004159971],"genre_scores_gemma":[0.2974678,0.0007065418,0.694053,0.0003938469,0.0002782277,0.0007286032,0.00120105,0.0002379127,0.004933047],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01439184,"threshold_uncertainty_score":0.07611221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07376165679704498,"score_gpt":0.3952412958909323,"score_spread":0.3214796390938873,"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."}}