{"id":"W2136613599","doi":"10.1190/1.3223623","title":"Wide-area imaging from OBS multiples","year":2009,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria; Geological Survey of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Multiple; Geology; Seafloor spreading; Prestack; Reflection (computer programming); Submarine pipeline; Seismology; Seabed; Ocean bottom; Seismometer; Optics; Geodetic datum; Geodesy; Remote sensing; Computer science; Physics; Geophysics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005754272,0.0001094699,0.0001097009,0.00003255614,0.0001179089,0.00005878174,0.0001838591,0.00002413618,0.0004390388],"category_scores_gemma":[0.00002512288,0.00009561926,0.00005535451,0.0001071694,0.00004440171,0.0002516664,0.000006311226,0.0001066445,0.000463044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002898008,"about_ca_system_score_gemma":0.00001689151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00739521,"about_ca_topic_score_gemma":0.00001546818,"domain_scores_codex":[0.9992998,0.0000211578,0.0001076617,0.0002009274,0.0001531922,0.0002172968],"domain_scores_gemma":[0.9995698,0.00009668751,0.00004366698,0.0001992354,0.00002490464,0.00006574925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001102481,0.00001675756,0.1073918,0.000001920365,0.000005390081,0.00002262658,0.0002196838,0.0000705897,0.0002820282,0.00006111229,0.03888008,0.8530369],"study_design_scores_gemma":[0.0003157849,0.00007042683,0.6859286,0.00004614603,0.00002179785,0.000005109013,0.000234825,0.1699759,0.006729337,0.0580332,0.07819138,0.000447429],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484686,0.001506269,0.007620361,0.003276919,0.0006206667,0.0001791897,0.0001690583,0.0008657195,0.03729325],"genre_scores_gemma":[0.9877461,0.00005880214,0.004072398,0.007692582,0.0001013826,2.027676e-7,0.0001717369,0.000002278915,0.0001545554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8525895,"threshold_uncertainty_score":0.9992146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094327273022096,"score_gpt":0.1926611665293939,"score_spread":0.181717893799173,"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."}}