{"id":"W4231521758","doi":"10.5194/osd-7-1-2010","title":"Stochastic heterogeneity mapping around a Mediterranean salt lens","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Wavenumber; Geology; Scale (ratio); Range (aeronautics); Reflection (computer programming); Stochastic modelling; Stochastic process; Internal wave; Mediterranean sea; Mediterranean climate; Statistical physics; Geometry; Mathematics; Physics; Optics; Statistics; Cartography; Geography; Computer science","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":[0.0002239374,0.0002788457,0.0002498285,0.0006449297,0.0002187481,0.0005540237,0.0002749484,0.0002208475,0.000429773],"category_scores_gemma":[0.0009870708,0.0001327193,0.0001975435,0.0003500951,0.0002627048,0.0002947145,0.0003559792,0.0001757902,0.00005979999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007315372,"about_ca_system_score_gemma":0.0002661146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01530463,"about_ca_topic_score_gemma":0.01268564,"domain_scores_codex":[0.9999211,0.00001198043,0.000003434395,0.00002652905,0.00001859918,0.00001840711],"domain_scores_gemma":[0.9997718,0.00004863862,0.00005464609,0.00001944333,0.00005945081,0.00004593389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001070621,0.0001588458,0.4152512,0.00009787084,0.0003790571,0.002927623,0.0008958349,0.377017,0.1077431,0.01201527,0.001575887,0.08086776],"study_design_scores_gemma":[0.00004161525,0.00007548661,0.2197284,0.00000769702,0.00002961386,0.0001560015,0.0002366468,0.7698236,0.006597736,0.002261914,0.001006053,0.0000352432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951404,0.00001979309,0.003987583,0.00003438804,0.000002245326,0.000004446629,0.00006098417,0.00003664556,0.0007134358],"genre_scores_gemma":[0.9988363,0.000006844416,0.0009855188,0.000004243092,0.000002814201,8.862668e-7,0.00005135863,0.000004392712,0.0001076834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01530463,"threshold_uncertainty_score":0.03043109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05031841091241145,"score_gpt":0.2547799603436018,"score_spread":0.2044615494311904,"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."}}