{"id":"W4300672997","doi":"10.14209/sbrt.2005.509","title":"Transmissão de Informação Embutida em Arquivos Comprimidos com o Algoritmo LZW","year":2005,"lang":"pt","type":"article","venue":"Anais do XXII Simpósio Brasileiro de Telecomunicações","topic":"Information Science and Libraries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001776602,0.0007075402,0.0007258257,0.002415609,0.0006573375,0.001874606,0.0009541693,0.0008298434,0.004438859],"category_scores_gemma":[0.008778702,0.0002908536,0.0004574537,0.001503868,0.001183775,0.003158262,0.001182194,0.0009642324,0.002207742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007150927,"about_ca_system_score_gemma":0.0008694772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009979289,"about_ca_topic_score_gemma":0.001035059,"domain_scores_codex":[0.9984683,0.0002992539,0.0001202694,0.0002031532,0.0007914251,0.0001176501],"domain_scores_gemma":[0.9954969,0.001857493,0.0004555565,0.001129166,0.0009438688,0.0001170401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001692184,0.0001754192,0.0036176,0.0005672713,0.00009441064,0.0004250201,0.001462263,0.008827695,0.1557506,0.01399304,0.002350217,0.8110443],"study_design_scores_gemma":[0.0002089539,0.001306984,0.006175783,0.0001763943,0.0002398288,0.00293185,0.001334024,0.1467272,0.787883,0.01261414,0.04024076,0.0001612296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1553799,0.001984246,0.8283901,0.000533728,0.0002713271,0.0001932204,0.0003141175,0.005913392,0.007019969],"genre_scores_gemma":[0.4939533,0.00119552,0.4937563,0.0001650715,0.0001896077,0.0001483644,0.0005178518,0.0006143652,0.00945957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004438859,"threshold_uncertainty_score":0.01484942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378897019016937,"score_gpt":0.2785885349217622,"score_spread":0.2547995647315929,"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."}}