{"id":"W2139132527","doi":"10.1109/allerton.2009.5394494","title":"LDGM-based codes for successive refinement","year":2009,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Algorithm; Programming language; Theoretical computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008948185,0.0003880437,0.0003486839,0.000559939,0.0003331225,0.0003967968,0.0007803701,0.0007048683,0.001363285],"category_scores_gemma":[0.004568405,0.0001571273,0.0003681447,0.0007624312,0.0007690841,0.0007426052,0.000996989,0.0009485924,0.0004628245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000791294,"about_ca_system_score_gemma":0.0008329371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002212438,"about_ca_topic_score_gemma":0.001889542,"domain_scores_codex":[0.9993462,0.0002125902,0.00002942244,0.00004581299,0.0003213419,0.00004465798],"domain_scores_gemma":[0.9989204,0.0004599009,0.00009196316,0.000265422,0.0002371835,0.00002515668],"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":[0.0003506877,0.00005912835,0.0005473287,0.000329037,0.00006711299,0.0002873665,0.000482453,0.4762952,0.07158453,0.2541834,0.002320483,0.1934932],"study_design_scores_gemma":[0.00005287084,0.00007191373,0.0001176658,0.00004796083,0.0000159901,0.0002257293,0.00001790566,0.9320738,0.0260513,0.03384913,0.00744363,0.00003217727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0107725,0.0003129131,0.9860694,0.000122745,0.00003420279,0.0000463246,0.00003636871,0.0002765829,0.002329011],"genre_scores_gemma":[0.402404,0.0005239276,0.5937741,0.0001617099,0.00002999422,0.0001294954,0.0001156396,0.00006534168,0.002795751],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002212438,"threshold_uncertainty_score":0.005741298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947061014038593,"score_gpt":0.3014589788285326,"score_spread":0.2819883686881467,"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."}}