{"id":"W4241432017","doi":"10.1109/cjece.2014.2384671","title":"Table of contents","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001081106,0.00006589,0.0001679558,0.0002428636,0.00003259201,0.00005023007,0.000428054,0.00003857643,0.000001100695],"category_scores_gemma":[0.00007410462,0.00005453963,0.00003475455,0.0002511335,0.00001485585,0.0001166054,0.00003339812,0.0001462864,4.180424e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001270145,"about_ca_system_score_gemma":0.00006132186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008460345,"about_ca_topic_score_gemma":0.0000109086,"domain_scores_codex":[0.9994572,0.00001123258,0.0001910168,0.00007814839,0.00008150413,0.0001808475],"domain_scores_gemma":[0.9994525,0.00007961324,0.00007164782,0.0001114805,0.00008361535,0.0002010899],"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":[0.000006013752,0.0000334342,0.006816329,0.00005818818,0.00009482315,0.00008886014,0.0002359621,0.01276842,0.004018887,0.245564,0.005658083,0.7246569],"study_design_scores_gemma":[0.0003848183,0.0005056974,0.007174823,0.0001332543,0.000006787787,0.0002467943,0.000002007463,0.9637556,0.006844391,0.002346176,0.01842848,0.0001711612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05086429,0.0007672448,0.9477877,0.0002453488,0.0002367798,0.0000156559,1.980706e-7,0.00002269647,0.00006010959],"genre_scores_gemma":[0.9825301,0.00001242361,0.01733264,0.00005758695,0.00005219819,3.145715e-7,4.107742e-8,0.00000299335,0.00001167111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9509872,"threshold_uncertainty_score":0.2224061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007624623911751663,"score_gpt":0.1661975298825533,"score_spread":0.1585729059708016,"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."}}