{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002370788,0.001179451,0.001243879,0.0008343208,0.001927024,0.0039893,0.007129876,0.0008133266,0.001395469],"category_scores_gemma":[0.0002655122,0.001182677,0.0007052865,0.002469434,0.0008253517,0.009924266,0.001305182,0.001620506,0.001578651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005182981,"about_ca_system_score_gemma":0.001855767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002538505,"about_ca_topic_score_gemma":0.0003065487,"domain_scores_codex":[0.991394,0.0005343593,0.002284073,0.001132146,0.00161428,0.003041083],"domain_scores_gemma":[0.9934521,0.0008435707,0.0008822399,0.003002638,0.0004266304,0.001392787],"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":[0.0002777317,0.001076074,0.02677357,0.0003698706,0.0004078645,0.0001238819,0.1318919,0.006788348,0.0004762159,0.02838751,0.1026662,0.7007609],"study_design_scores_gemma":[0.003185724,0.0007606168,0.06505325,0.0003786337,0.0001394367,0.0004908199,0.009435597,0.5951127,0.00767081,0.001300852,0.3137401,0.002731409],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6245434,0.004977881,0.3214045,0.01478103,0.001508196,0.002125573,0.0002551499,0.001973406,0.02843085],"genre_scores_gemma":[0.9494154,0.001410582,0.03016995,0.01549738,0.0005167939,0.00007088755,0.00007545885,0.00009075482,0.002752725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6980295,"threshold_uncertainty_score":0.9995174,"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."}}