{"id":"W2333969726","doi":"10.1190/segam2012-1475.1","title":"Full waveform inversion algorithm using Common Scatter Point (CSP) gathers","year":2012,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Inversion (geology); Algorithm; Computer science; Waveform; Geology; Telecommunications; Radar","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004097543,0.0005848388,0.000482954,0.0006606032,0.0003726164,0.0007692193,0.0008761745,0.0005438728,0.002875238],"category_scores_gemma":[0.001801867,0.0003200635,0.0004919017,0.000938754,0.000316884,0.001084574,0.001314975,0.0007958072,0.001014154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074499,"about_ca_system_score_gemma":0.0009745242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00407082,"about_ca_topic_score_gemma":0.003218003,"domain_scores_codex":[0.9997999,0.00002885063,0.00001250163,0.00002951448,0.0001048311,0.0000244056],"domain_scores_gemma":[0.9995673,0.0001169657,0.00003530804,0.00006039373,0.0001943113,0.00002567132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001845825,0.00007168891,0.001379516,0.0001347915,0.00005750244,0.0001899597,0.0002176477,0.3229593,0.04592519,0.01929954,0.005457788,0.6041224],"study_design_scores_gemma":[0.00001625338,0.00003666307,0.0003663099,0.000005320227,0.000006474422,0.0000873378,0.00003109134,0.9867644,0.005759948,0.004733341,0.002179093,0.000013741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005887694,0.00001927053,0.9924643,0.00004120212,0.00001383588,0.00002457444,0.00007720816,0.0005837081,0.0008880976],"genre_scores_gemma":[0.130314,0.0001058329,0.8663657,0.00003948669,0.00003435168,0.0001133887,0.0007321321,0.0002373234,0.002057798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00407082,"threshold_uncertainty_score":0.00961864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254013023405762,"score_gpt":0.2333463844685866,"score_spread":0.210806254234529,"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."}}