{"id":"W4250028000","doi":"10.22215/etd/2012-09703","title":"Node-based verification-based recovery algorithms in compressed sensing : asymptotic analysis and design of irregular sensing matrices (graphs)","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science; Node (physics); Algorithm; Theoretical computer science; Engineering; Structural engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003085071,0.0004692145,0.0008648745,0.001855165,0.00006344563,0.0000768894,0.0001408668,0.0004171005,0.00002067803],"category_scores_gemma":[0.00003184023,0.0005110073,0.000221725,0.001327678,0.00004687655,0.0001253448,0.000009280643,0.0002850667,0.00000208916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008204888,"about_ca_system_score_gemma":0.00006761363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005724253,"about_ca_topic_score_gemma":0.0001958591,"domain_scores_codex":[0.9980683,0.0001569587,0.0006752461,0.0004142863,0.000328424,0.0003567528],"domain_scores_gemma":[0.9984406,0.0004370065,0.0002864766,0.0005476447,0.0002043578,0.0000838873],"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":[0.0001674781,0.00008616449,0.001024867,0.0006215845,0.00101906,0.00002372243,0.0002574132,0.8380213,0.1307332,0.00001681117,0.0001981994,0.02783028],"study_design_scores_gemma":[0.000272046,0.00002102922,0.008711352,0.0004654919,0.0008784203,0.000001074043,0.00008874919,0.8133636,0.1756137,0.0001075372,0.00001224981,0.0004647191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1876971,0.001929641,0.8084521,0.000009311554,0.0002831933,0.0005162752,0.00001711216,0.0005656323,0.0005296489],"genre_scores_gemma":[0.8581716,0.0001017262,0.1410393,0.00002149716,0.00002770863,0.000004211257,0.0005239841,0.00008570284,0.00002417631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6704745,"threshold_uncertainty_score":0.9997342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544613844334034,"score_gpt":0.2338113170048699,"score_spread":0.2183651785615296,"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."}}