{"id":"W1566750685","doi":"10.1109/3dpvt.2004.27","title":"Adaptive online transmission of 3D TexMesh using scale-space analysis","year":2004,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Bandwidth (computing); Image texture; Preprocessor; Visualization; Artificial intelligence; Computer vision; Feature (linguistics); Algorithm; Pattern recognition (psychology); Image processing; Image (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001266945,0.0001003679,0.0002033061,0.0004521415,0.00005661293,0.00003880667,0.000407629,0.00004917981,0.00001240729],"category_scores_gemma":[0.000002056254,0.00008524837,0.0001364384,0.002211323,0.00003352717,0.0002219319,0.0001028696,0.00005559012,4.13682e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002350816,"about_ca_system_score_gemma":0.00005871258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002716539,"about_ca_topic_score_gemma":0.0000436088,"domain_scores_codex":[0.9991194,0.00002924439,0.0002356428,0.0002644463,0.0002269113,0.0001243723],"domain_scores_gemma":[0.9993412,0.00001882112,0.00009339742,0.0003293988,0.0001514615,0.00006564751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001172712,0.0007642086,0.002179657,0.00002615143,0.0003071568,0.000006736809,0.001924969,0.01996525,0.004758894,0.9113807,0.00004986874,0.05862466],"study_design_scores_gemma":[0.0001883917,0.0001076043,0.001412414,0.00003252694,0.00005596855,0.000001989296,0.00001791112,0.9667608,0.02388026,0.007260037,0.0001444847,0.0001375989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02557543,0.00005569996,0.9737559,0.0001458227,0.000022403,0.00007611941,0.000002260601,0.0001775158,0.000188847],"genre_scores_gemma":[0.5187964,0.00002233435,0.4810844,0.00006504351,0.000007679976,5.399326e-7,0.000002230317,0.000003133819,0.00001816091],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9467956,"threshold_uncertainty_score":0.3476328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992029136131383,"score_gpt":0.309779306181054,"score_spread":0.2798590148197402,"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."}}