{"id":"W2006390912","doi":"10.1190/1.1818044","title":"Multi‐level 3D VSP travel time inversion in VTI media, Weyburn Field, Canada","year":2003,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Inversion (geology); Travel time; Seismology; Geophysics; Engineering; Transport engineering","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":[0.0005478841,0.0005428163,0.0003217983,0.001143473,0.002517769,0.00140144,0.0009169185,0.0004737292,0.01858325],"category_scores_gemma":[0.001060923,0.0004975624,0.0002824652,0.001902117,0.0006645198,0.0008256417,0.0007636269,0.001079023,0.003433363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007423221,"about_ca_system_score_gemma":0.02085665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8987558,"about_ca_topic_score_gemma":0.962859,"domain_scores_codex":[0.9995697,0.00001474961,0.000005440744,0.00003959277,0.000291394,0.0000791639],"domain_scores_gemma":[0.9991674,0.00006148709,0.00002122413,0.00004362791,0.0005774098,0.0001288732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001156224,0.0001881801,0.0375922,0.0002960745,0.0001014851,0.0008009966,0.001727047,0.03770018,0.08102395,0.009636982,0.4350257,0.3947509],"study_design_scores_gemma":[0.0002831878,0.0001375846,0.1383629,0.0002594507,0.0001258427,0.0003860182,0.003151997,0.2774461,0.0898888,0.004644314,0.4849492,0.0003645269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2882288,0.002453439,0.1827745,0.007847921,0.0005819071,0.0006328725,0.0977749,0.01915651,0.4005491],"genre_scores_gemma":[0.5886217,0.002164518,0.1716099,0.0004159109,0.00006107157,0.0002055201,0.05627674,0.003939621,0.1767051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1012442,"threshold_uncertainty_score":0.2036809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813926931481268,"score_gpt":0.1922207235002159,"score_spread":0.1740814541854032,"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."}}