{"id":"W1688230850","doi":"10.1007/s00477-015-1154-x","title":"Multivariate grid-free geostatistical simulation with point or block scale secondary data","year":2015,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Kriging; Block (permutation group theory); Computer science; Algorithm; Grid; Scale (ratio); Mathematical optimization; Mathematics","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":[0.001522836,0.0002435293,0.0002285557,0.00007016729,0.0004760996,0.0001296316,0.000541026,0.00007528214,0.0007252993],"category_scores_gemma":[0.0003955087,0.000173272,0.00001497541,0.0001647694,0.0009526223,0.0003636516,0.002378443,0.0006032757,0.0001582823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000422914,"about_ca_system_score_gemma":0.0001135216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176673,"about_ca_topic_score_gemma":0.0009018526,"domain_scores_codex":[0.9965151,0.0002272971,0.000299705,0.0008350775,0.001442068,0.0006807389],"domain_scores_gemma":[0.9974563,0.000811738,0.00009877159,0.0009407662,0.00001546945,0.0006770316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005994267,0.005806968,0.2956517,0.000172296,0.0007098672,0.001064126,0.005289603,0.3300137,0.001765574,0.001376937,0.03946366,0.3126913],"study_design_scores_gemma":[0.004653414,0.002608977,0.3862938,0.00005911216,0.00008583113,0.0000675757,0.002825564,0.5905238,0.00001876476,0.008490589,0.003803112,0.0005694589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5316853,0.000146386,0.4568665,0.0005362539,0.0002513563,0.001868892,0.003945781,0.00007312665,0.004626437],"genre_scores_gemma":[0.9586939,0.00009208227,0.04011254,0.00003800242,0.00009466548,0.00005175101,0.0003473694,0.00003531339,0.0005343729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4270086,"threshold_uncertainty_score":0.7941518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06637087812500068,"score_gpt":0.3687571711887124,"score_spread":0.3023862930637117,"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."}}