{"id":"W2320493319","doi":"10.1190/segam2015-5852794.1","title":"Estimation of fast and slow shear wave velocities from P-wave data: A Montney case study","year":2015,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Shear (geology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004391414,0.0004108654,0.0001901294,0.001151538,0.001232765,0.0009196772,0.0006615354,0.0007288085,0.001382791],"category_scores_gemma":[0.002049011,0.0001655127,0.0002341698,0.001784609,0.0008539184,0.0003912603,0.0006366234,0.0004026128,0.0001724318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002308121,"about_ca_system_score_gemma":0.001916192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5124542,"about_ca_topic_score_gemma":0.654039,"domain_scores_codex":[0.9996693,0.00005857437,0.00001886716,0.00004401907,0.0001479714,0.00006131748],"domain_scores_gemma":[0.9985512,0.0006964002,0.0001383177,0.0001054714,0.0003660718,0.0001426035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001345837,0.0006674701,0.487704,0.0002537648,0.0001888753,0.03899852,0.003751164,0.2957123,0.0345124,0.007409834,0.006229102,0.1232267],"study_design_scores_gemma":[0.0001141716,0.0003563427,0.3596644,0.00008888897,0.0001181515,0.005698157,0.006864368,0.5830805,0.03079428,0.002574646,0.01047163,0.0001745752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910546,0.00005128423,0.002500234,0.0001942205,0.000002715402,0.00003111533,0.0003593848,0.00008846074,0.005717956],"genre_scores_gemma":[0.9942846,0.00003528264,0.003960514,0.0000166052,0.000002716275,0.000009675681,0.0002731232,0.00001381277,0.001403715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5124542,"threshold_uncertainty_score":0.9808342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09111085640726545,"score_gpt":0.2615094120182956,"score_spread":0.1703985556110302,"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."}}