{"id":"W185705012","doi":"10.1007/978-1-4615-1527-2_13","title":"Compression Coding for IAP Data","year":2001,"lang":"en","type":"book-chapter","venue":"The Kluwer international series on Asian studies in computer and information science","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Compression (physics); Computer science; Materials science; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009857384,0.0003599642,0.0003605678,0.0006339278,0.0006118446,0.0006510653,0.005091683,0.0001008294,0.00001219649],"category_scores_gemma":[0.00009069014,0.0002635547,0.00005228279,0.0002181385,0.0009246197,0.01093655,0.005703255,0.0003537537,0.00002328593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058569,"about_ca_system_score_gemma":0.00009511006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002581584,"about_ca_topic_score_gemma":0.000008508762,"domain_scores_codex":[0.9971929,0.0000198927,0.000767409,0.0006864406,0.001015616,0.000317762],"domain_scores_gemma":[0.9970168,0.000304751,0.0005453117,0.001432164,0.0006189929,0.0000820007],"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":[0.00004320221,0.00001443881,0.000006540694,0.00003997068,0.00003774452,0.000004349979,0.001049662,0.0001422685,0.000004545092,0.6577829,0.02357274,0.3173017],"study_design_scores_gemma":[0.0003367044,0.0001293042,0.00007372761,0.0005384334,0.000005222986,0.0000654345,0.0001209496,0.06984053,0.00004307131,0.03051247,0.8979689,0.0003651879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000002782484,0.0001563454,0.8543276,0.00238928,0.002693346,0.0006271676,0.0001887263,0.0001764988,0.1394383],"genre_scores_gemma":[0.04279583,0.02096144,0.8612207,0.02457145,0.003067359,0.0006194671,0.001667918,0.000150296,0.04494552],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8743962,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07991580012025451,"score_gpt":0.361163345374809,"score_spread":0.2812475452545545,"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."}}