{"id":"W2036667289","doi":"10.1002/cjs.11132","title":"Objective Bayesian analysis of spatial data with uncertain nugget and range parameters","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bayesian probability; Range (aeronautics); Computer science; Spatial analysis; Econometrics; Statistics; Artificial intelligence; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002664562,0.00008191178,0.0002329584,0.0001578926,0.00005953811,0.00002116823,0.0001419542,0.00002651927,0.0002456102],"category_scores_gemma":[0.0001700434,0.00006890354,0.00001833854,0.0002668918,0.0002430778,0.0001316665,0.00002653972,0.00009373995,0.000001156761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009643075,"about_ca_system_score_gemma":0.0001667202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05596333,"about_ca_topic_score_gemma":0.1605416,"domain_scores_codex":[0.9992477,0.00003376216,0.000221842,0.0000977012,0.0001815672,0.0002174539],"domain_scores_gemma":[0.9989167,0.0001299943,0.0002188872,0.000180171,0.00003654709,0.0005176821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003010006,0.00001777912,0.9731908,0.00001259198,0.0004524506,0.00009841214,0.001305784,0.001204262,0.00001258341,0.000408972,0.002149861,0.02111644],"study_design_scores_gemma":[0.0003324756,0.000172898,0.9819808,0.00002070382,0.001095306,0.00006808186,0.0004501544,0.01370159,0.00001023989,0.0003258511,0.001707719,0.0001341833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3233443,0.0001738576,0.6712141,0.0001403263,0.0001436775,0.0001352225,0.003932611,0.000001961134,0.0009139734],"genre_scores_gemma":[0.9005661,0.0000156531,0.09925775,0.00007201967,0.00001561789,3.422954e-7,0.00004964658,0.00000668821,0.00001618521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5772218,"threshold_uncertainty_score":0.9503231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163429641503756,"score_gpt":0.2324289944396944,"score_spread":0.2107946980246569,"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."}}