{"id":"W2325553270","doi":"10.3997/2214-4609.201412652","title":"A Case Study of Multi-pole Acoustic Logging in Heavy Oil Sand Reservoirs","year":2015,"lang":"en","type":"article","venue":"Proceedings","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Slowness; Geology; Oil shale; Anisotropy; Lithology; Shear (geology); Dispersion (optics); Amplitude; Dipole; Geotechnical engineering; Seismology; Petrology; Optics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005471071,0.00009292991,0.0001553264,0.0001847398,0.00005649752,0.00003422152,0.0001428319,0.00003804479,0.00003742213],"category_scores_gemma":[0.000136753,0.00007949697,0.00001703953,0.000266815,0.00005256482,0.0002500335,0.00002170734,0.0001393046,0.000014047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008832231,"about_ca_system_score_gemma":0.00003324336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03242844,"about_ca_topic_score_gemma":0.0003923306,"domain_scores_codex":[0.9991882,0.00001319614,0.0002014668,0.0001991865,0.000192152,0.0002058094],"domain_scores_gemma":[0.9996486,0.00002882042,0.00007113681,0.00006632087,0.00008370818,0.000101391],"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":[0.0000997259,0.0002390679,0.9422057,0.0001153293,0.00001027391,0.0004948445,0.02070845,0.00056914,0.0001693365,0.000001361831,0.007540883,0.02784594],"study_design_scores_gemma":[0.005098423,0.001983831,0.01607402,0.0002817511,0.00006118524,0.00226359,0.2758042,0.6895651,0.004004553,0.0004346205,0.003689416,0.0007393307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952025,0.0001579986,0.00001407455,0.0001116216,0.00007600602,0.00009319619,0.000003279697,0.00007864186,0.004262715],"genre_scores_gemma":[0.9988515,0.000009505315,0.0007467485,0.0001651163,0.00002508507,0.000002098562,0.000001704727,0.000003496068,0.0001946782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9261316,"threshold_uncertainty_score":0.9740147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05763889487595837,"score_gpt":0.271557735319704,"score_spread":0.2139188404437456,"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."}}