{"id":"W2963465316","doi":"10.1109/isit.2011.6034172","title":"Density evolution analysis of node-based verification-based algorithms in compressed sensing","year":2011,"lang":"en","type":"article","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Algorithm; Computer science; Compressed sensing; Node (physics); Context (archaeology); Message passing; Decoding methods; Asymptotic analysis; Dimension (graph theory); Iterative method; Signal processing; Mathematics; Digital signal processing; Parallel computing","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":[],"consensus_categories":[],"category_scores_codex":[0.0001049036,0.0001175167,0.0002609192,0.0005148485,0.00002197435,0.000007219115,0.00009030801,0.00007867852,0.00003756253],"category_scores_gemma":[0.00001346567,0.0001244053,0.00009719354,0.0008022307,0.00004016169,0.00004581744,0.000008565082,0.00008332276,0.000002845775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007216512,"about_ca_system_score_gemma":0.00002053014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357746,"about_ca_topic_score_gemma":0.000273056,"domain_scores_codex":[0.9992787,0.00003807037,0.0002556052,0.0001576387,0.0001251217,0.0001449204],"domain_scores_gemma":[0.9993902,0.0000531917,0.00004986199,0.000364779,0.0001095704,0.00003243455],"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":[0.00006812127,0.0001941677,0.05068006,0.00004032651,0.0004170447,0.00001865512,0.0002829583,0.7626358,0.1808454,0.0004613179,0.0002945558,0.004061592],"study_design_scores_gemma":[0.0001239564,0.000007054483,0.06820479,0.00001961894,0.00009634094,1.228723e-7,0.00001316304,0.6647652,0.2666075,0.00006316483,0.000007049728,0.00009199063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3347546,0.00002740426,0.6634042,0.0000062514,0.00003906385,0.00007261921,0.000003184253,0.0003332996,0.001359461],"genre_scores_gemma":[0.9278691,0.00000145679,0.07204996,0.00003566619,0.000006193744,0.000001666085,0.00002026333,0.00001330714,0.000002321932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5931146,"threshold_uncertainty_score":0.5073102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02993250799251711,"score_gpt":0.2231115500505462,"score_spread":0.1931790420580291,"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."}}