{"id":"W2051569409","doi":"10.1016/j.ejc.2003.10.002","title":"On codes from hypergraphs","year":2003,"lang":"en","type":"article","venue":"European Journal of Combinatorics","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Hebrew University of Jerusalem","keywords":"Mathematics; Hypergraph; Combinatorics; Vertex (graph theory); Discrete mathematics; Binary number; Decoding methods; List decoding; Block code; Algorithm; Graph; Concatenated error correction code","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":[0.001169194,0.001729121,0.001391406,0.004579078,0.002337951,0.003540908,0.001539124,0.002142906,0.007921099],"category_scores_gemma":[0.01475514,0.001074792,0.001069239,0.004915894,0.003162771,0.006505927,0.005377595,0.004510341,0.001773387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002440678,"about_ca_system_score_gemma":0.001328912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003202575,"about_ca_topic_score_gemma":0.002509269,"domain_scores_codex":[0.998122,0.000652493,0.00008411909,0.0002588827,0.0006739234,0.0002085004],"domain_scores_gemma":[0.9874833,0.008723185,0.0007901299,0.001421259,0.001137125,0.000445089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006313008,0.00001543685,0.0002197061,0.00008323616,0.00001479828,0.00009044071,0.00028633,0.009219635,0.0007497677,0.9665977,0.003723454,0.01893629],"study_design_scores_gemma":[0.000009170368,0.00001179191,0.00007019136,0.0000498683,0.00001068255,0.00008494379,0.00003373692,0.01781566,0.0006709092,0.9767736,0.004452895,0.00001647893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1852009,0.005888977,0.669038,0.007709771,0.001257168,0.0002233905,0.001286605,0.001535897,0.1278592],"genre_scores_gemma":[0.7884899,0.007908884,0.1203238,0.002574664,0.001867642,0.0005011919,0.001683977,0.001583496,0.07506651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007921099,"threshold_uncertainty_score":0.02649873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307566050862434,"score_gpt":0.2220836248975633,"score_spread":0.2090079643889389,"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."}}