{"id":"W1949718559","doi":"10.1109/ccece.2000.849750","title":"Encoding identification of Internet packets","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; The Internet; Encoding (memory); ASCII; Artificial intelligence; Network packet; Identification (biology); World Wide Web; Natural language processing; Computer network; Programming language","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":[0.001150359,0.0004634952,0.0004566094,0.001468516,0.0002848724,0.001022744,0.0004466045,0.000583345,0.0006959407],"category_scores_gemma":[0.009256588,0.0001633781,0.0004297087,0.001138893,0.000342496,0.001180569,0.0004115491,0.000572647,0.0005781656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000720483,"about_ca_system_score_gemma":0.0008275022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398661,"about_ca_topic_score_gemma":0.0009742164,"domain_scores_codex":[0.9990271,0.0002189319,0.00006288681,0.0001153491,0.000481384,0.00009436127],"domain_scores_gemma":[0.9963951,0.001546004,0.0004296045,0.000518133,0.001065234,0.00004595301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001544047,0.0003916789,0.04495009,0.0002290643,0.0001223324,0.0005701167,0.000424396,0.2599111,0.0624516,0.02896463,0.003386857,0.5970541],"study_design_scores_gemma":[0.000009812447,0.00009372649,0.004026222,0.00001451896,0.00002255625,0.0002458775,0.00006028137,0.9627805,0.02795061,0.003801895,0.0009724051,0.00002165662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3166718,0.00025387,0.6779536,0.0002422026,0.0001287842,0.0001657679,0.0004503068,0.001380022,0.002753572],"genre_scores_gemma":[0.8693544,0.000339637,0.1264237,0.00006728736,0.00003343024,0.00009477462,0.001155684,0.0001039497,0.00242712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002398661,"threshold_uncertainty_score":0.006083727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03491841601148848,"score_gpt":0.2809151393518011,"score_spread":0.2459967233403126,"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."}}