{"id":"W2053647845","doi":"10.1109/ccece.2013.6567819","title":"Developing and evaluating a lossless compression scheme for scientific data from a nanosatellite","year":2013,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Lossless compression; Computer science; Scheme (mathematics); Uncompressed video; Data compression; Compression (physics); Telecommunications link; Lossy compression; Computer engineering; Real-time computing; Algorithm; Computer hardware; Computer network; Artificial intelligence; Mathematics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005119129,0.000131978,0.0001504233,0.00006465851,0.0004949056,0.001389923,0.001608992,0.0000498345,0.00004610639],"category_scores_gemma":[0.00008832656,0.00009836801,0.00001622154,0.0001919444,0.00006343459,0.002165276,0.003099455,0.00006630145,0.00006037785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000161222,"about_ca_system_score_gemma":0.00009640748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002198299,"about_ca_topic_score_gemma":0.00001067875,"domain_scores_codex":[0.9982737,0.00004479583,0.0002433282,0.0008646199,0.0003046268,0.0002689255],"domain_scores_gemma":[0.998032,0.0002593319,0.00009217559,0.001340484,0.0001760326,0.0001000048],"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":[0.00001058328,0.00006866614,0.00096209,0.00006961173,0.00002987993,0.000002071176,0.0005835803,0.00001033861,0.09992102,0.01794744,0.02031181,0.8600829],"study_design_scores_gemma":[0.000389639,0.00001837812,0.002053843,0.000130481,0.000003273722,0.000002124625,0.00003664439,0.9720721,0.004057466,0.01081334,0.0102369,0.0001858326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1077813,0.0004761278,0.8902125,0.0004946456,0.0003854218,0.0004107184,0.00005617043,0.0001065135,0.00007662884],"genre_scores_gemma":[0.03463753,0.00001145252,0.9645091,0.0001782848,0.00006375832,0.00003592861,0.00033433,0.000008012032,0.0002216141],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9720618,"threshold_uncertainty_score":0.9996467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1950570602024596,"score_gpt":0.3664805478709747,"score_spread":0.1714234876685151,"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."}}