{"id":"W2546295387","doi":"10.1002/cjs.11303","title":"Hierarchical Bayesian small area estimation for circular data","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Small area estimation; Bayesian probability; Estimation; Bayes estimator; Bayesian hierarchical modeling; Computer science; Statistics; Mathematics; Bayesian inference; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01433648,0.0007011263,0.002000113,0.002038249,0.000962395,0.001649187,0.003841643,0.001428777,0.003763168],"category_scores_gemma":[0.05877703,0.001395323,0.001411919,0.002959153,0.002063764,0.002353849,0.002705403,0.002066795,0.0005239318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756509,"about_ca_system_score_gemma":0.001906523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03196018,"about_ca_topic_score_gemma":0.02748358,"domain_scores_codex":[0.993248,0.004550094,0.0002746764,0.001178836,0.0004987969,0.0002495606],"domain_scores_gemma":[0.939722,0.05319418,0.002512162,0.002358459,0.001666271,0.0005470179],"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":[0.0001469221,0.0000684742,0.009130773,0.000129689,0.0002166465,0.0001654736,0.0002312307,0.8745917,0.0003560985,0.06233646,0.00198065,0.05064587],"study_design_scores_gemma":[0.00001164534,0.00001100656,0.0007271731,0.00001030066,0.000009709247,0.00001171187,0.00001474537,0.97565,0.00006782301,0.023107,0.000370673,0.000008198821],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02499404,0.0003485304,0.9733213,0.0002339012,0.00001789832,0.00006814922,0.0003019929,0.0001661223,0.0005480894],"genre_scores_gemma":[0.5836569,0.0006332554,0.4085705,0.0002048511,0.0001922609,0.0004924487,0.00261695,0.0001981924,0.003434658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03196018,"threshold_uncertainty_score":0.07581949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05310494140133249,"score_gpt":0.2381798791264867,"score_spread":0.1850749377251542,"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."}}