{"id":"W1965877862","doi":"10.2118/162175-ms","title":"Shear Wave Anisotropy Measurement from Azimuthally Focused LWD Sonic Tool","year":2012,"lang":"en","type":"article","venue":"SPE Canadian Unconventional Resources Conference","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advantage Forensics (Canada)","funders":"","keywords":"Borehole; Anisotropy; Azimuth; Geology; Waveform; Shear (geology); Sonic logging; Transmitter; Well logging; Acoustics; Shear waves; Geophysics; Geotechnical engineering; Optics; Physics; Petrology; Engineering; Channel (broadcasting)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005329231,0.0002105878,0.0001949431,0.0001925476,0.0002700946,0.0001404942,0.000320184,0.0001096429,0.02444111],"category_scores_gemma":[0.0001408919,0.0002001376,0.0001166293,0.0001593189,0.0001490442,0.0003237341,0.00001523789,0.0002239685,0.00118995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125217,"about_ca_system_score_gemma":0.0006697514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4305895,"about_ca_topic_score_gemma":0.08257644,"domain_scores_codex":[0.9978977,0.0001140484,0.0002725238,0.0003240314,0.0006960407,0.0006956276],"domain_scores_gemma":[0.9987036,0.00008038412,0.00009500689,0.0002721592,0.0001730327,0.0006758181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001546879,0.00009374873,0.4934627,0.00004447676,0.0002799034,0.0001313117,0.002014708,0.00009191057,0.0003706399,0.01229173,0.09281966,0.3982446],"study_design_scores_gemma":[0.0006321566,0.0001431514,0.313524,0.0001922795,0.00005335472,0.000026803,0.0005272821,0.008752866,0.0009587713,0.01478891,0.6597129,0.0006875683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787714,0.003230851,0.003370292,0.005334945,0.001680286,0.000559419,0.001055598,0.0002916984,0.1057055],"genre_scores_gemma":[0.9936172,0.00003967265,0.00287428,0.002050488,0.0003059341,0.000002869794,0.0002266592,0.000008026538,0.0008748616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5668932,"threshold_uncertainty_score":0.9995877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04881604490627178,"score_gpt":0.2058505627210478,"score_spread":0.157034517814776,"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."}}