{"id":"W4285239303","doi":"10.3997/2214-4609.202210207","title":"Separation and Shot Interpolation of Simultaneous-Source Data with Interpolated Mssa (I-Mssa)","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference &amp; Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interpolation (computer graphics); Computer science; Algorithm; Projection (relational algebra); Grid; Source separation; Nearest-neighbor interpolation; Artificial intelligence; Mathematics; Linear interpolation; Pattern recognition (psychology); Image (mathematics); Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004391745,0.0001636771,0.0001948117,0.0001767618,0.000258459,0.00008382461,0.0003044083,0.00005698679,0.001885762],"category_scores_gemma":[0.00008656815,0.0001493057,0.00002352263,0.0002474919,0.0001504978,0.0007811446,0.0001026006,0.0002686373,0.00003089752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000110764,"about_ca_system_score_gemma":0.00006520588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003142356,"about_ca_topic_score_gemma":0.0006505225,"domain_scores_codex":[0.9985376,0.0001978687,0.0003011918,0.0004152184,0.0003474327,0.0002006658],"domain_scores_gemma":[0.9989975,0.0001569273,0.0002189075,0.0003920674,0.0001581128,0.00007647573],"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":[0.005343562,0.0005901489,0.155158,0.0004417452,0.0002892184,0.00008662808,0.06224979,0.0126405,0.02647067,0.0005672482,0.1748745,0.561288],"study_design_scores_gemma":[0.0009711795,0.00150854,0.004121501,0.000225031,0.00008809387,0.0002147646,0.006412035,0.7617888,0.001958383,0.001033116,0.2209225,0.0007559948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517137,0.000136479,0.04383928,0.0004843369,0.000148518,0.0002951631,0.001045059,0.0001846117,0.002152792],"genre_scores_gemma":[0.9916272,0.00002581926,0.002025221,0.0005546989,0.00004075857,0.000002735302,0.005007399,0.000006573019,0.0007095953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7491483,"threshold_uncertainty_score":0.9990267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0422617226048572,"score_gpt":0.2756290604727935,"score_spread":0.2333673378679363,"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."}}