{"id":"W2288875061","doi":"10.1190/tle35030226.1","title":"Introduction to the special section: Subsalt imaging","year":2016,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Special section; Section (typography); Geophysical imaging; Geology; Seismology; Computer science; Engineering; Engineering physics","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":[0.0005263615,0.00006817809,0.00005758681,0.00004686711,0.0003219947,0.00005815574,0.0002480655,0.00001542519,0.001493755],"category_scores_gemma":[0.00006950684,0.00002840592,0.00003170437,0.0001740038,0.00008343994,0.0001503414,0.00001263697,0.00009728604,0.003074145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000107772,"about_ca_system_score_gemma":0.00001212845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003162274,"about_ca_topic_score_gemma":0.00006086142,"domain_scores_codex":[0.9993783,0.000068503,0.00008575567,0.0001575909,0.0001248249,0.0001850439],"domain_scores_gemma":[0.9995789,0.00009646189,0.00002956621,0.0002353113,0.00002343004,0.00003631516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008411193,9.647127e-7,0.003762294,6.00743e-7,0.000001867673,4.739007e-7,0.0002179923,0.0000110086,0.0001999032,0.00006598849,0.7401024,0.2556281],"study_design_scores_gemma":[0.00004510153,0.00001753482,0.005770383,0.000009594108,0.000004688377,0.00002894552,0.00009150746,0.0003235296,0.003151675,0.0004639169,0.990029,0.00006405912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.114221,0.0002795415,0.01196814,0.7742197,0.02354218,0.0005408172,0.00001862961,0.0006354146,0.0745746],"genre_scores_gemma":[0.9127634,0.00003892283,0.0002185525,0.007760373,0.06110793,0.000003103457,0.000004793204,0.000005937159,0.018097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7985424,"threshold_uncertainty_score":0.999419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228939868080255,"score_gpt":0.2159437856505814,"score_spread":0.2036543869697788,"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."}}