{"id":"W2912919848","doi":"10.1190/geo2018-0309.1","title":"Empirical modeling of the saturated shear modulus in oil sands","year":2019,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Union of Biochemistry and Molecular Biology; International Development Research Centre; University of Calgary","funders":"China National Offshore Oil Corporation","keywords":"Shear modulus; Bulk modulus; Geology; Saturation (graph theory); Shear (geology); Oil sands; Geotechnical engineering; Modulus; Mineralogy; Materials science; Petrology; Asphalt; Composite material; 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":[0.00009849156,0.00005985084,0.0001012136,0.00002775711,0.00002835793,0.000009538879,0.0001625446,0.00003642902,0.0001190743],"category_scores_gemma":[0.000008888753,0.00003917459,0.00004321688,0.0002436993,0.00003011375,0.00008660085,0.00001390585,0.0001343684,0.00008449068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003093441,"about_ca_system_score_gemma":0.00003416573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341848,"about_ca_topic_score_gemma":0.00001276706,"domain_scores_codex":[0.9994597,0.00003437401,0.0001133892,0.000114348,0.0001446129,0.0001335133],"domain_scores_gemma":[0.9997267,0.0000194496,0.00003137175,0.00018049,0.00002230822,0.0000197015],"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":[0.00007315191,0.00005557848,0.7072166,0.00007174269,0.00001532193,0.000002666726,0.001264898,0.1018387,0.0007713149,0.00009432279,0.005846383,0.1827493],"study_design_scores_gemma":[0.0001269388,0.00002328499,0.03753359,0.00002975218,0.000002497245,8.8588e-7,0.00008391627,0.9584208,0.0006480939,0.002231776,0.0008299519,0.00006858556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990939,0.00005740019,0.00004974365,0.0003717409,0.0002715033,0.00003315269,0.000007930662,0.00002668828,0.008242891],"genre_scores_gemma":[0.998469,0.0000175268,0.000219035,0.0007678744,0.00002375938,1.759444e-7,0.000009708799,0.000001795008,0.0004911221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.856582,"threshold_uncertainty_score":0.5051897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538480078827319,"score_gpt":0.2190922152302043,"score_spread":0.2037074144419311,"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."}}