{"id":"W4280608081","doi":"10.1002/cjs.11700","title":"Missing data analysis with sufficient dimension reduction","year":2022,"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":"National Natural Science Foundation of China","keywords":"Estimator; Sufficient dimension reduction; Dimension (graph theory); Dimensionality reduction; Subspace topology; Missing data; Covariate; Mathematics; Reduction (mathematics); Moment (physics); Applied mathematics; Dimensional reduction; Statistics; Computer science; Combinatorics; Mathematical analysis; Artificial intelligence","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":[0.02635357,0.0008592465,0.002375355,0.002700406,0.0006980088,0.001503824,0.001853354,0.001319035,0.001561271],"category_scores_gemma":[0.0864533,0.000858343,0.002540924,0.001655485,0.001867846,0.001882718,0.002968408,0.00299762,0.0003590753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009298929,"about_ca_system_score_gemma":0.002576527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001421905,"about_ca_topic_score_gemma":0.00085416,"domain_scores_codex":[0.9729092,0.02311092,0.0007125687,0.001017104,0.001885482,0.0003647515],"domain_scores_gemma":[0.9197309,0.06073606,0.003533813,0.01153019,0.003937565,0.0005315311],"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":[0.001242258,0.0003407609,0.01148278,0.0009315115,0.001462026,0.0006705319,0.0009682964,0.3661943,0.006166923,0.4272769,0.006660525,0.1766032],"study_design_scores_gemma":[0.0001238295,0.0001467421,0.001866645,0.0001023278,0.00009507129,0.0002013767,0.00005771773,0.8179324,0.001839586,0.1753709,0.002194994,0.00006836498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007652518,0.000191498,0.991402,0.000257712,0.0000271592,0.00005548165,0.00007978195,0.0001095253,0.0002243134],"genre_scores_gemma":[0.3323477,0.0004076171,0.6645098,0.0003641279,0.0001891576,0.0008736477,0.0005151573,0.00008731151,0.0007055526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02635357,"threshold_uncertainty_score":0.1393726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1476966875454268,"score_gpt":0.3433709350643394,"score_spread":0.1956742475189126,"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."}}