{"id":"W2411234846","doi":"","title":"Inference of 2D and 3D locally varying anisotropy fields for complex geological formations","year":2012,"lang":"en","type":"article","venue":"","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Inference; Anisotropy; Interpolation (computer graphics); Field (mathematics); Kriging; Computer science; Tensor (intrinsic definition); Algorithm; Focus (optics); Geology; Data mining; Mathematics; Geometry; Artificial intelligence; Machine learning; Physics; Image (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":[0.00008110937,0.0000405951,0.00006151803,0.00000774662,0.00006528332,0.000006737047,0.00004710329,0.00002738711,0.0008820811],"category_scores_gemma":[0.00005345184,0.00003207547,0.00001078224,0.00002919004,0.00007134272,0.0001079624,0.00008906942,0.00002452791,0.00001515204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007629393,"about_ca_system_score_gemma":0.000002028456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000145991,"about_ca_topic_score_gemma":0.00002830253,"domain_scores_codex":[0.9996418,0.000006054222,0.000102357,0.00005605524,0.00005739733,0.0001363061],"domain_scores_gemma":[0.9997318,0.0001297539,0.0000297968,0.00005513063,0.000005500627,0.00004798791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003624388,0.0002393749,0.6478391,0.00009031015,0.00002492894,5.857906e-7,0.002231389,0.003753688,0.007200397,0.2097762,0.007604187,0.1212036],"study_design_scores_gemma":[0.0005210523,0.0001991809,0.7428781,0.00000912432,0.00001891763,0.000006063007,0.0001778262,0.2306356,0.0004292483,0.01189129,0.01302868,0.0002049655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1515793,0.000008233378,0.8297188,0.0001072668,0.0000264778,0.0001083243,0.000007404076,0.00001120607,0.01843305],"genre_scores_gemma":[0.8915213,0.000007615974,0.1081621,0.0002118813,0.000008564709,0.000007349008,0.000005865241,0.00000140294,0.00007393938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7399421,"threshold_uncertainty_score":0.965817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04419549509336952,"score_gpt":0.2792772256065958,"score_spread":0.2350817305132263,"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."}}