{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004459825,0.0007184374,0.0007288796,0.003668795,0.0007203573,0.002202787,0.0008176243,0.0006788604,0.006906199],"category_scores_gemma":[0.04410783,0.000395564,0.0006667585,0.00331885,0.0006537323,0.001731039,0.001646732,0.001190976,0.0009645793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005840991,"about_ca_system_score_gemma":0.001318797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006392102,"about_ca_topic_score_gemma":0.004061675,"domain_scores_codex":[0.9977448,0.0007472017,0.0002305648,0.0003354733,0.0007591567,0.0001828495],"domain_scores_gemma":[0.9691961,0.0192547,0.001836933,0.004979838,0.004242436,0.0004900952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001427608,0.0002404077,0.07373185,0.0004302985,0.0002095846,0.001258518,0.002060308,0.1165479,0.0264983,0.04198727,0.01580077,0.7198071],"study_design_scores_gemma":[0.00009749596,0.0001717338,0.03779125,0.0001104771,0.00008871531,0.0009976,0.0005590639,0.8755626,0.04419126,0.03111565,0.009182302,0.0001317535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1689426,0.0002346488,0.8015277,0.0004987394,0.00009536174,0.00008220414,0.001144477,0.02422895,0.003245353],"genre_scores_gemma":[0.6998575,0.0002032691,0.2954992,0.00006717388,0.00004281792,0.00005823742,0.001211028,0.001920197,0.001140525],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006906199,"threshold_uncertainty_score":0.02358609,"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."}}