{"id":"W3125142579","doi":"10.1190/geo2020-0307.1","title":"Offset-extended sparse Radon transform: Application to multiple suppression in the presence of amplitude variations with offset","year":2021,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Canada First Research Excellence Fund","keywords":"Radon transform; Radon; Offset (computer science); Smoothing; Algorithm; Amplitude; Basis function; Computer science; Geology; Mathematics; Optics; Mathematical analysis; Computer vision; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008468686,0.000625445,0.0006502086,0.0006415304,0.0003110266,0.0004989973,0.0006235815,0.0006820354,0.0006648974],"category_scores_gemma":[0.002345198,0.0002789829,0.0006321571,0.0007359381,0.0005046685,0.0007886742,0.0009575789,0.0007450507,0.0002459173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002435482,"about_ca_system_score_gemma":0.0007874461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247585,"about_ca_topic_score_gemma":0.003343569,"domain_scores_codex":[0.9996592,0.0000699591,0.00002086008,0.00006552661,0.0001501018,0.00003433442],"domain_scores_gemma":[0.9992203,0.0003260659,0.00009351073,0.0001100187,0.0002147893,0.00003533141],"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":[0.0004096675,0.0001620755,0.008126942,0.000158887,0.00008991801,0.0006702393,0.0004439248,0.3805502,0.1654618,0.01054726,0.001319319,0.4320598],"study_design_scores_gemma":[0.000009680755,0.00004905246,0.0008834256,0.000006451154,0.00001486305,0.0001327032,0.00004443005,0.9749239,0.02150135,0.001324857,0.00109651,0.0000128381],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08215442,0.0001098244,0.916502,0.0001311342,0.00002158048,0.00001936523,0.00003623216,0.0004451324,0.0005802084],"genre_scores_gemma":[0.4023433,0.0001544879,0.5961896,0.0000670746,0.00002875181,0.00003278071,0.0002184236,0.0001153921,0.0008502524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002247585,"threshold_uncertainty_score":0.004478693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116156298871767,"score_gpt":0.220584538702226,"score_spread":0.2094229757135083,"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."}}