{"id":"W2508772068","doi":"10.1111/1365-2478.12418","title":"Enabling affordable omnidirectional subsurface extended image volumes via probing","year":2016,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Regional geology; Environmental geology; Geology; Offset (computer science); Economic geology; Bottleneck; Gemology; Geophysical imaging; Seismic migration; Computer science; Engineering geology; Algorithm; Seismology; Tectonics; Volcanism","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000341197,0.0001770995,0.0001939674,0.00007071997,0.0004573164,0.00009871372,0.0001894033,0.00005366699,0.0009107754],"category_scores_gemma":[0.0001233053,0.0001212485,0.00009892337,0.0002647969,0.0001272589,0.0006608999,0.00002921965,0.0001869315,0.0006789928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002357366,"about_ca_system_score_gemma":0.00003723002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002518092,"about_ca_topic_score_gemma":0.00001747268,"domain_scores_codex":[0.9984996,0.0000473473,0.0002212676,0.0004353581,0.0002974937,0.0004989859],"domain_scores_gemma":[0.9993232,0.0001839501,0.0001073493,0.0001930514,0.00008260315,0.0001097923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008079489,0.0001040122,0.07456332,0.00005535282,0.00004566928,0.00002607443,0.0003708758,0.00005299654,0.09479799,0.0004556647,0.004607978,0.8248393],"study_design_scores_gemma":[0.00189249,0.000699684,0.1407658,0.0005861543,0.00006850251,0.0001698807,0.0007875723,0.1250413,0.5906771,0.1112372,0.026018,0.002056369],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580835,0.0001789117,0.01813865,0.001488303,0.0006743426,0.0003567797,0.00001931884,0.0011773,0.01988288],"genre_scores_gemma":[0.9895658,0.00001254795,0.007150234,0.0002187494,0.0003684587,0.000003429067,0.000008059001,0.000009726999,0.002662999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8227829,"threshold_uncertainty_score":0.9972352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008518539001962306,"score_gpt":0.2074783726799813,"score_spread":0.1989598336780189,"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."}}