{"id":"W2038678288","doi":"10.1190/geo2011-0475.1","title":"3D imaging challenges in steeply dipping mining structures: New lights on acquisition geometry and processing from the Brunswick no. 6 seismic data, Canada","year":2012,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"Uppsala Universitet; Isfahan University of Technology","keywords":"Bin; Geology; Azimuth; Offset (computer science); Data acquisition; Data processing; Footprint; Seismology; Wavenumber; Geodesy; Mineralogy; Geometry; Remote sensing; Computer science; Optics; Algorithm; Mathematics; Physics; Database","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001968443,0.0001538469,0.0001431108,0.00004797704,0.0002128507,0.00008437233,0.0002961615,0.00003374252,0.00004924631],"category_scores_gemma":[0.00002832347,0.0001130195,0.00001220966,0.0001376803,0.00004294288,0.0006434857,0.00004715221,0.0001926149,0.00001900262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001635083,"about_ca_system_score_gemma":0.0002312017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6660333,"about_ca_topic_score_gemma":0.0492454,"domain_scores_codex":[0.9989076,0.0000561716,0.0001501878,0.00029317,0.0002494555,0.0003434739],"domain_scores_gemma":[0.9992666,0.0002072564,0.00009205798,0.0003171875,0.00002154453,0.00009531188],"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":[0.00001722875,0.000007894992,0.09119076,0.00003005493,0.0000101567,0.000005382951,0.001743717,0.0001169498,0.00001791459,0.00001974206,0.009419871,0.8974203],"study_design_scores_gemma":[0.0004309314,0.0000419964,0.7794684,0.0004433286,0.00003813245,0.00001244215,0.003668202,0.1476383,0.0002967726,0.002243462,0.06516763,0.0005503719],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843471,0.01113412,0.000179614,0.002158429,0.0005322777,0.0001206755,0.00007191375,0.00005740651,0.001398468],"genre_scores_gemma":[0.9933773,0.0002985804,0.001155137,0.00423233,0.000699167,2.781729e-7,0.0001903434,0.000006392496,0.0000404386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.89687,"threshold_uncertainty_score":0.9681034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555232295144499,"score_gpt":0.2175608080386695,"score_spread":0.1920084850872245,"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."}}