{"id":"W2125889434","doi":"10.1155/imrn.2005.4019","title":"","year":2005,"lang":"en","type":"article","venue":"International Mathematics Research Notices","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ryerson University; University of Missouri; National Science Foundation","keywords":"Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107324,0.00019907,0.0002055294,0.0005744591,0.0001556748,0.0004007543,0.001145332,0.0000938485,0.00009091654],"category_scores_gemma":[0.0004112814,0.000187488,0.00008134974,0.0002733542,0.0001636857,0.000736894,0.0002296143,0.0005373011,0.0001349963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002251914,"about_ca_system_score_gemma":0.00001969319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002704261,"about_ca_topic_score_gemma":0.0001058058,"domain_scores_codex":[0.9971818,0.00005868321,0.0004615535,0.0002443684,0.001490909,0.0005626713],"domain_scores_gemma":[0.997919,0.0008156144,0.00004607593,0.0004471297,0.0006275518,0.0001446545],"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":[0.0000707338,0.001330951,0.0009311964,0.0002684154,0.0009289461,0.0001594774,0.01224752,0.5326451,0.2396871,0.1161697,0.02355682,0.07200401],"study_design_scores_gemma":[0.0002512088,0.00003732494,0.0003402083,0.0001963519,0.000005995921,0.00002320757,0.0006152836,0.816353,0.1464481,0.01954346,0.0159495,0.000236415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454803,0.0002575182,0.01771145,0.002716534,0.0003153758,0.0003251439,0.000009575276,0.001350385,0.03183376],"genre_scores_gemma":[0.9225762,0.0001380272,0.0763951,0.00006247917,0.0005548036,0.00006386226,0.000006111847,0.00004901716,0.0001543246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2837079,"threshold_uncertainty_score":0.764554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056571304988999,"score_gpt":0.392955741318173,"score_spread":0.2872986108192732,"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."}}