{"id":"W2995040008","doi":"","title":"Improved spatial prediction: A combinatorial approach","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Multivariate interpolation; Copula (linguistics); Interpolation (computer graphics); Grid; Spatial dependence; Mathematics; Spatial correlation; Spatial contextual awareness; Computer science; Mathematical optimization; Econometrics; Statistics; Bilinear interpolation; Artificial intelligence; Geometry","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":[0.002461939,0.001043524,0.001309952,0.001931961,0.0005942732,0.001454323,0.002227929,0.0008292387,0.005505485],"category_scores_gemma":[0.009196499,0.0007258796,0.001379686,0.00229757,0.0008770574,0.002339363,0.002229907,0.001547464,0.001135494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049752,"about_ca_system_score_gemma":0.00107774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003801188,"about_ca_topic_score_gemma":0.003508153,"domain_scores_codex":[0.9982588,0.0007946013,0.00007555024,0.0002942563,0.0004690916,0.0001077234],"domain_scores_gemma":[0.9955992,0.002221895,0.0002930588,0.0009941999,0.0007973509,0.00009437979],"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":[0.00007289735,0.00005505808,0.001084343,0.00007176122,0.00006305426,0.0001044915,0.00004821525,0.8499781,0.001580036,0.05406835,0.002418743,0.09045501],"study_design_scores_gemma":[0.000005287014,0.00001818522,0.0001698645,0.000007015814,0.00001181827,0.00001806668,0.000006042562,0.9849005,0.0004217864,0.01359234,0.0008411498,0.00000787853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004039583,0.0000843767,0.9929508,0.0001145644,0.0000322064,0.00001350272,0.00009528517,0.0002398297,0.002429892],"genre_scores_gemma":[0.3050848,0.0004319061,0.6897132,0.0001799934,0.000236397,0.0001385679,0.00079697,0.0004133699,0.003004798],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005505485,"threshold_uncertainty_score":0.01841766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651661835472273,"score_gpt":0.2209532187372765,"score_spread":0.1944366003825538,"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."}}