{"id":"W2237434365","doi":"10.1007/978-1-4614-1183-3_1","title":"Development of On-Board Data Compression Technology at Canadian Space Agency","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Agency (philosophy); Space (punctuation); Government (linguistics); Subject (documents); On board; Order (exchange); Political science; Computer science; Business; Public administration; Engineering; Library science; Sociology; Aerospace engineering; Finance; Social 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","open_science"],"consensus_categories":[],"category_scores_codex":[0.0001401308,0.0004579639,0.0005250981,0.0009589114,0.0001990049,0.00002069496,0.006873512,0.0005544137,0.0008954266],"category_scores_gemma":[0.00002686284,0.0003949002,0.00004711096,0.0001041167,0.0001497293,0.0003171654,0.007356826,0.0004478781,0.000411404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002931567,"about_ca_system_score_gemma":0.0006645179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336011,"about_ca_topic_score_gemma":0.01562888,"domain_scores_codex":[0.9973224,0.00001379237,0.0005985642,0.001204259,0.0004444238,0.0004165745],"domain_scores_gemma":[0.9935282,0.00004825587,0.0004453859,0.005559323,0.0001359416,0.0002829285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006378807,0.00002037055,0.000004189725,0.00002846969,0.00003271803,0.00006165024,0.0001074563,5.378571e-7,0.0005863971,0.7226863,0.05312367,0.2233419],"study_design_scores_gemma":[0.00008539757,0.00004380928,0.00001605921,0.0004348744,0.000006248951,0.00001222262,0.000001489722,0.0001420696,0.01961294,0.04027489,0.9389005,0.0004694972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000006957127,0.0002581043,0.3804042,0.000267163,0.0002683782,0.0004085093,0.000162585,0.000578324,0.6176458],"genre_scores_gemma":[0.0005540753,0.0001658166,0.8038289,0.0001992581,0.00002220921,0.000016432,0.0002654913,0.0000528326,0.194895],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8857768,"threshold_uncertainty_score":0.9998503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07758960763394782,"score_gpt":0.2829051509165152,"score_spread":0.2053155432825674,"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."}}