{"id":"W2922375149","doi":"10.17159/2411-9717/2019/v119n1a1","title":"A comparison of indirect lognormal and discrete Gaussian change of support methods for various variogram estimators","year":2019,"lang":"en","type":"article","venue":"Journal of the Southern African Institute of Mining and Metallurgy","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Variogram; Log-normal distribution; Estimator; Statistics; Gaussian; Mathematics; Econometrics; Geostatistics; Applied mathematics; Statistical physics; Geology; Kriging; Physics; Spatial variability","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":[0.005957513,0.0001531156,0.001016521,0.0003703063,0.00008643257,0.00003328139,0.0006670417,0.00008142008,0.00003112638],"category_scores_gemma":[0.001096476,0.00008896754,0.0002995979,0.000477674,0.0004409023,0.000190811,0.0001614371,0.000119547,0.000001113386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001337015,"about_ca_system_score_gemma":0.0001458544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007226298,"about_ca_topic_score_gemma":0.00003631405,"domain_scores_codex":[0.9974214,0.0003592092,0.001335091,0.0001958745,0.0005174657,0.0001709263],"domain_scores_gemma":[0.9952173,0.001002243,0.002930911,0.0004205237,0.0003137743,0.0001152231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001677407,0.000859069,0.340546,0.0006778868,0.002521358,0.000006095876,0.2477172,0.002178105,0.02623043,0.01950186,0.0002860405,0.3577985],"study_design_scores_gemma":[0.01905102,0.01418224,0.2070726,0.00388492,0.008030171,0.00201155,0.3899353,0.05535942,0.03660559,0.06089423,0.1998119,0.003161062],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441979,0.0003698598,0.05314188,0.0002058369,0.0004763212,0.000407321,0.00004893617,0.000004626004,0.001147332],"genre_scores_gemma":[0.9465006,0.000004249023,0.05314261,0.00001205141,0.00003258954,0.000008240572,6.020299e-7,0.00001180958,0.0002872668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3546374,"threshold_uncertainty_score":0.3627991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1249257515687709,"score_gpt":0.4295278053102294,"score_spread":0.3046020537414585,"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."}}