{"id":"W4385422417","doi":"10.1002/cjs.11788","title":"A calibration method to stabilize estimation with missing data","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Inverse probability weighting; Covariate; Weighting; Statistics; Mathematics; Property (philosophy); Calibration; Computer science; Econometrics; Applied mathematics","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":[0.01888902,0.001079476,0.001652884,0.002829811,0.0008291696,0.001296724,0.002574746,0.002422123,0.005906055],"category_scores_gemma":[0.07231147,0.00104797,0.001407436,0.002668781,0.001848863,0.0023067,0.00362839,0.003819908,0.001337981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088453,"about_ca_system_score_gemma":0.002252755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001972293,"about_ca_topic_score_gemma":0.001131017,"domain_scores_codex":[0.9908746,0.005783094,0.0003355574,0.001302744,0.001447516,0.0002564947],"domain_scores_gemma":[0.972814,0.0176209,0.002133174,0.00355516,0.003505162,0.0003716388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002249803,0.0001440728,0.003635125,0.0003371752,0.0003834754,0.0002370607,0.000466932,0.3461036,0.005171505,0.2513295,0.006201852,0.3857647],"study_design_scores_gemma":[0.00006011212,0.00007341698,0.0006681489,0.00008733053,0.00005945829,0.00009010828,0.00003357465,0.9211733,0.002020495,0.07013601,0.005550671,0.00004737761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001301979,0.0001038084,0.9979721,0.00007890972,0.00002885257,0.00002491413,0.0000195763,0.0001587491,0.0003110602],"genre_scores_gemma":[0.187029,0.0005564372,0.807108,0.000403205,0.0003084448,0.0005681871,0.0003620243,0.0003960431,0.003268662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01888902,"threshold_uncertainty_score":0.09989589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3580087222115719,"score_gpt":0.4506688524395981,"score_spread":0.09266013022802627,"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."}}