{"id":"W2069975631","doi":"10.1016/j.cageo.2011.01.014","title":"Plotting and checking the bivariate distributions of multiple Gaussian data","year":2011,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bivariate analysis; Univariate; Mathematics; Multivariate normal distribution; Gaussian; Statistics; Multivariate statistics; Conditional probability distribution; Outlier; Bivariate data; Multivariate stable distribution; Normal-Wishart distribution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042254,0.00006509937,0.00007310916,0.00001537785,0.0003258042,0.0000404248,0.0006621435,0.00001422743,0.00003749734],"category_scores_gemma":[0.0000994393,0.00004354766,0.00001124303,0.000219745,0.0005892153,0.0001920818,0.0009542851,0.00004898555,0.00000710876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008733243,"about_ca_system_score_gemma":0.00000898188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00325447,"about_ca_topic_score_gemma":0.000225767,"domain_scores_codex":[0.9992409,0.00002672844,0.0001379075,0.0002576319,0.0001537667,0.00018302],"domain_scores_gemma":[0.9994196,0.0001219382,0.00009194799,0.0003110581,0.000004999859,0.00005047518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007184904,0.0001198879,0.7076604,0.00002058126,0.00002163103,0.000008424927,0.008869221,0.0002147949,0.001982376,0.008020241,0.001566329,0.271509],"study_design_scores_gemma":[0.00009056842,0.00002693843,0.8645177,0.00002128059,0.00001011153,0.000005886671,0.0003867839,0.1300384,0.0001468245,0.001508226,0.003151597,0.00009567143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6943845,0.00008717236,0.3014423,0.0003271875,0.0005233361,0.0001813054,0.00009538441,0.00004020719,0.002918614],"genre_scores_gemma":[0.9718513,0.00001275361,0.028046,0.00005052246,0.00001500401,0.000001588378,0.000008079377,0.000002285995,0.00001239829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2774669,"threshold_uncertainty_score":0.4919806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0618704534343258,"score_gpt":0.2491526978157345,"score_spread":0.1872822443814087,"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."}}