{"id":"W2334376669","doi":"10.1190/1.3255268","title":"Statistical modeling of seismic reflectivities comparing Lévy stable and Gaussian mixture distributions","year":2009,"lang":"en","type":"article","venue":"","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Gaussian; Statistical physics; Outlier; Statistical model; Monte Carlo method; Gaussian process; Probabilistic logic; Mixture model; Physics; Algorithm; Computer science; Geology; Mathematics; Statistics","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":[0.006342848,0.0007813482,0.0008559361,0.00209788,0.0005416749,0.001653701,0.001626328,0.001416863,0.0008773156],"category_scores_gemma":[0.01611807,0.0004384985,0.001458099,0.001161745,0.001607911,0.002923034,0.0009190894,0.0009027348,0.0003105584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647852,"about_ca_system_score_gemma":0.001239742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009170242,"about_ca_topic_score_gemma":0.004056355,"domain_scores_codex":[0.9985517,0.0006106949,0.00006364593,0.0002382592,0.0003516544,0.0001840884],"domain_scores_gemma":[0.9886491,0.008057602,0.001000235,0.000957061,0.001057685,0.0002782801],"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":[0.0002513037,0.00005763214,0.009784966,0.0000510742,0.0001164409,0.0001200269,0.0002565295,0.8997993,0.002521162,0.07060992,0.0005535638,0.015878],"study_design_scores_gemma":[0.00000921184,0.00002738974,0.001240732,0.000005923503,0.00001240852,0.00002945203,0.00003480765,0.9795155,0.0006772283,0.01824011,0.0001790167,0.00002814098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3274858,0.0003175658,0.6696599,0.0003833765,0.00002769014,0.00006937839,0.0001716372,0.0004190901,0.001465662],"genre_scores_gemma":[0.9736911,0.0002458853,0.02403138,0.00007386386,0.0000307577,0.00007965091,0.0003375871,0.0001153267,0.001394369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009170242,"threshold_uncertainty_score":0.03354454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519015562658293,"score_gpt":0.3273976890759065,"score_spread":0.3122075334493236,"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."}}