{"id":"W2512268460","doi":"10.1190/segam2016-13878249.1","title":"Time-jittered marine acquisition: A rank-minimization approach for 5D source separation","year":2016,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; SENAI CIMATEC; BG Group","keywords":"Minification; Computer science; Rank (graph theory); Algorithm; Mathematics; Combinatorics; World Wide Web","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":[0.0009158035,0.001202751,0.0007686917,0.0009074178,0.0004610436,0.0008150782,0.001289088,0.001107901,0.003811965],"category_scores_gemma":[0.002388987,0.0005135875,0.0009561149,0.001059959,0.0006667287,0.001206374,0.001658411,0.001535221,0.001202436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005922774,"about_ca_system_score_gemma":0.001285695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003296791,"about_ca_topic_score_gemma":0.004338287,"domain_scores_codex":[0.9994419,0.0001536834,0.00003302479,0.00009176624,0.000222369,0.00005729582],"domain_scores_gemma":[0.9992816,0.000336313,0.00008945292,0.00009982337,0.0001462313,0.00004655625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003758666,0.0001275775,0.0007295727,0.0002610787,0.00009415762,0.0001896523,0.0002679729,0.486003,0.03140663,0.03378526,0.005628632,0.4411305],"study_design_scores_gemma":[0.00001272998,0.00005103626,0.0001407685,0.000008833016,0.000007869986,0.00006403872,0.00002565014,0.988452,0.0042728,0.004814541,0.002133361,0.00001640039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002636385,0.00007112588,0.9964533,0.00006641367,0.00001172241,0.00001909488,0.00004326445,0.0001827973,0.0005160113],"genre_scores_gemma":[0.0527855,0.0001599765,0.9447182,0.00006834335,0.0000468551,0.00008677946,0.0002672909,0.0001144627,0.001752708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003811965,"threshold_uncertainty_score":0.01275223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879560533362648,"score_gpt":0.2622892988837976,"score_spread":0.2434936935501711,"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."}}