{"id":"W2004696151","doi":"10.1190/1.2369874","title":"Facies probability from mixture distributions with non‐stationary impedance errors","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Facies; Electrical impedance; Geology; Probability distribution; Statistics; Mathematics; Geomorphology; Electrical engineering; Engineering","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":[0.00002136549,0.00008769479,0.00008371576,0.000007978398,0.00006570729,0.00001564588,0.00006374221,0.00003059025,0.00005637177],"category_scores_gemma":[0.000005488963,0.00006644378,0.00002724836,0.0001565257,0.0000448666,0.00006533318,0.00000882865,0.00007758976,0.00003416404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000213861,"about_ca_system_score_gemma":0.000008053239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002452645,"about_ca_topic_score_gemma":0.00009376078,"domain_scores_codex":[0.9995741,0.000007772232,0.00009915169,0.0001294496,0.00007147642,0.0001181041],"domain_scores_gemma":[0.9996833,0.0000650057,0.0000118581,0.0001742457,0.00003371602,0.00003188619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004099042,0.00116522,0.0349437,0.0002745069,0.0002276991,0.000008465979,0.0007310293,0.155775,0.3732587,0.3548621,0.03581329,0.04289932],"study_design_scores_gemma":[0.0002763794,0.00002841702,0.7607099,0.00001559578,0.00003185413,0.000001205455,0.00009936865,0.02178464,0.01513449,0.1882042,0.01333557,0.0003784165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6007894,0.00002241686,0.3943542,0.000244905,0.00001886363,0.0001420139,0.0002489748,0.0001933335,0.003985976],"genre_scores_gemma":[0.8700386,0.000001307296,0.1294061,0.000009067287,0.00004832139,0.00009421047,0.0001668523,0.00000749367,0.0002280622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7257662,"threshold_uncertainty_score":0.2709498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006177410582808824,"score_gpt":0.2107472921814599,"score_spread":0.2045698815986511,"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."}}