{"id":"W4313438126","doi":"10.5539/ijsp.v12n1p33","title":"Bayesian Predictive Inference Under Nine Methods for Incorporating Survey Weights","year":2023,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics; Mathematics; Estimator; Mean squared error; Population; Selection (genetic algorithm); Computer science; Artificial intelligence; Medicine","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":[0.0509108,0.001429517,0.002182219,0.003791315,0.001098707,0.00320883,0.00407364,0.002242043,0.002435879],"category_scores_gemma":[0.1572343,0.001095157,0.002682053,0.004091591,0.00239072,0.004623142,0.002986575,0.003826177,0.0004316605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002388624,"about_ca_system_score_gemma":0.003147641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008885306,"about_ca_topic_score_gemma":0.004927521,"domain_scores_codex":[0.9696124,0.02121743,0.001286957,0.003337702,0.003889028,0.0006564896],"domain_scores_gemma":[0.8971785,0.08393738,0.005542336,0.007092262,0.005660473,0.0005890899],"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":[0.0005388124,0.0002405857,0.01895729,0.0007608436,0.00102995,0.0002041243,0.0006026068,0.4161768,0.001050386,0.240354,0.003168323,0.3169163],"study_design_scores_gemma":[0.00009554131,0.00008415079,0.002907943,0.0001532512,0.0001757988,0.00009766654,0.00006428529,0.8843977,0.0007996414,0.1088882,0.002276615,0.00005922792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01190307,0.0005217896,0.9860917,0.0001910283,0.00004888383,0.0001443055,0.0001915314,0.0001772644,0.0007305475],"genre_scores_gemma":[0.2449166,0.001423329,0.7486457,0.0003046542,0.0002323155,0.00105361,0.001302965,0.0001492808,0.001971472],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0509108,"threshold_uncertainty_score":0.2692453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102690557469931,"score_gpt":0.4546125041170769,"score_spread":0.3443434483700838,"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."}}