{"id":"W1995926167","doi":"10.1029/2005eo180001","title":"Advances in controlled‐source seismic imaging","year":2005,"lang":"en","type":"article","venue":"Eos","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Virginia Polytechnic Institute and State University; National Science Foundation","keywords":"Seismometer; Seismology; Geology; Crust; Waveform; Vertical seismic profile; Inversion (geology); Seismic tomography; Geophysics; Computer science; Mantle (geology); Telecommunications; Tectonics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002204935,0.00008276199,0.0001375615,0.0001063076,0.00005806643,0.00002891607,0.0001374001,0.00001975994,0.0008218608],"category_scores_gemma":[0.00003041744,0.00006748726,0.00003976003,0.0001077208,0.0000452795,0.0004002069,0.000005526374,0.0001114626,0.0003776722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000570939,"about_ca_system_score_gemma":0.00001432212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092973,"about_ca_topic_score_gemma":0.000106071,"domain_scores_codex":[0.9993229,0.00004003492,0.0001501749,0.0001546292,0.0001194728,0.0002128169],"domain_scores_gemma":[0.9997344,0.0000756082,0.00002806961,0.0001046738,0.00001095464,0.00004628361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002565681,0.000006105731,0.0769418,0.000002426286,8.958075e-7,0.000004060927,0.00009923145,0.002601916,0.000008875372,0.000005740225,0.005358937,0.9149444],"study_design_scores_gemma":[0.0005728632,0.00001195742,0.003402194,0.00001696049,0.000002197114,0.00001036449,0.0001122253,0.3903157,0.0003799221,0.0002642027,0.604813,0.00009837125],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4347191,0.03268876,0.01801013,0.01685417,0.0008684064,0.000814436,0.00002404576,0.001036979,0.4949839],"genre_scores_gemma":[0.9923264,0.0003359922,0.001149337,0.005130147,0.0001192496,0.00000143334,0.000008909294,0.000002488557,0.0009259842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.914846,"threshold_uncertainty_score":0.8998799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00467425971471621,"score_gpt":0.2089894772266787,"score_spread":0.2043152175119624,"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."}}