{"id":"W2149281073","doi":"10.1111/j.0006-341x.2004.00241.x","title":"Estimation in Bayesian Disease Mapping","year":2004,"lang":"en","type":"article","venue":"Biometrics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayes' theorem; Inference; Bayesian inference; Markov chain Monte Carlo; Bayesian probability; Statistical inference; Computer science; Statistics; Bayes factor; Fiducial inference; Econometrics; Parametric statistics; Frequentist inference; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02098133,0.00101945,0.002046735,0.003008086,0.0007908473,0.002897797,0.0027055,0.002236078,0.003276682],"category_scores_gemma":[0.1136703,0.001150341,0.001492233,0.002729418,0.003126136,0.004549678,0.002897722,0.003031444,0.0005134866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798388,"about_ca_system_score_gemma":0.001674705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006387616,"about_ca_topic_score_gemma":0.003541775,"domain_scores_codex":[0.9874368,0.009532657,0.0004344474,0.0012758,0.001117765,0.0002025482],"domain_scores_gemma":[0.9437458,0.05107689,0.0016664,0.001990441,0.001283059,0.0002373547],"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":[0.00005886907,0.00003518298,0.003821092,0.0004169487,0.0002830465,0.0001174005,0.0003427866,0.307572,0.0003785396,0.5634002,0.002046733,0.1215271],"study_design_scores_gemma":[0.00001787549,0.00001735043,0.0007449843,0.00008602371,0.00003391702,0.00007510775,0.00003763126,0.3781133,0.0001725362,0.6184852,0.002192457,0.00002355706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003537233,0.0007308031,0.9943181,0.0004233681,0.00002357297,0.00002055357,0.00007742817,0.00007843365,0.0007905993],"genre_scores_gemma":[0.2938371,0.003421119,0.6987914,0.0005125151,0.0003352753,0.000450629,0.0006157715,0.0001357389,0.001900455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02098133,"threshold_uncertainty_score":0.1109612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08734313465568595,"score_gpt":0.3776616522745233,"score_spread":0.2903185176188374,"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."}}