{"id":"W2333340505","doi":"10.1190/segam2014-0885.1","title":"Non-uniform optimal sampling for simultaneous source survey design","year":2014,"lang":"en","type":"article","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"University of British Columbia; ConocoPhillips","keywords":"Computer science; Sampling (signal processing); Telecommunications","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":[0.0002756447,0.0001310094,0.0001494827,0.00004554823,0.0000604332,0.00004350441,0.0001298959,0.00007327907,0.00000985925],"category_scores_gemma":[0.0001189961,0.0001229715,0.00004256899,0.00005872544,0.00001360189,0.00004172997,0.00002064518,0.00007119463,0.00002042072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001922195,"about_ca_system_score_gemma":0.000005288058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004466546,"about_ca_topic_score_gemma":0.00001620574,"domain_scores_codex":[0.9994161,0.00001401918,0.0001347122,0.0001299101,0.00006603359,0.0002391886],"domain_scores_gemma":[0.9989192,0.0007420294,0.00001610568,0.0002060359,0.00006629413,0.00005035208],"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":[0.00001630129,0.00000592053,0.00002952502,0.000007428848,0.00001577702,4.971419e-7,0.00003711125,0.9805645,0.004762031,0.00005210896,0.002528487,0.01198027],"study_design_scores_gemma":[0.0001266882,0.00006460433,0.00005597175,0.00001484145,0.000006199368,0.000003649385,0.000008158273,0.9484425,0.04413227,0.0001613092,0.006807132,0.0001766615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0263353,0.00001208716,0.9710627,0.000005294814,0.00009534782,0.0002046926,0.000002495982,0.0009823705,0.001299697],"genre_scores_gemma":[0.7269884,0.000003883838,0.2726632,0.00004532915,0.00006694576,0.000008949069,0.00001054725,0.00003599081,0.0001768082],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7006531,"threshold_uncertainty_score":0.5014632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0429120746022785,"score_gpt":0.2592156400078007,"score_spread":0.2163035654055222,"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."}}