{"id":"W2593176887","doi":"10.1007/978-3-319-46819-8_19","title":"A High-Order, Data-Driven Framework for Joint Simulation of Categorical Variables","year":2017,"lang":"en","type":"book-chapter","venue":"Quantitative geology and geostatistics","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Categorical variable; Spatial analysis; Joint probability distribution; Order statistic; Computer science; Variogram; Algorithm; Geostatistics; Statistics; Spatial dependence; Data mining; Kriging; Grid; Mathematics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003341837,0.000327871,0.000657693,0.00006672139,0.0003237427,0.00002919954,0.0003581399,0.0004471384,0.0005022613],"category_scores_gemma":[0.002251602,0.0003234817,0.00004064078,0.00002002027,0.001124113,0.00009794276,0.000553259,0.0003207064,0.00006990326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003362945,"about_ca_system_score_gemma":0.00005636977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005774794,"about_ca_topic_score_gemma":0.0002941618,"domain_scores_codex":[0.9982882,0.00003968502,0.0005098375,0.0006557574,0.000206794,0.0002997752],"domain_scores_gemma":[0.9956985,0.002628692,0.0007924994,0.0006873615,0.00009877383,0.00009413846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005637184,0.00002563823,0.0001935763,0.00008865882,0.0001358014,0.00001950367,0.0002255181,0.008302804,0.000003638604,0.9782159,0.002511103,0.01022145],"study_design_scores_gemma":[0.0003212686,0.0003489567,0.0009659804,0.00006860317,0.0002065165,0.000004225079,0.00002732232,0.158545,0.000001099316,0.7977532,0.04144882,0.0003089717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006269863,0.0002874647,0.9850007,0.000159789,0.0004563939,0.0004887049,0.003315769,0.00001788137,0.01021065],"genre_scores_gemma":[0.02441516,0.0008514457,0.9407434,0.00017603,0.0001336918,0.00002683028,0.003752321,0.00007715287,0.02982394],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1804627,"threshold_uncertainty_score":0.9999217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07882150043766899,"score_gpt":0.3265643966933487,"score_spread":0.2477428962556797,"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."}}