{"id":"W2003104202","doi":"10.1109/vecims.2007.4373920","title":"Towards an Architecture for the Compression of Haptic Media","year":2007,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Lossless compression; Lossy compression; Haptic technology; Computer science; Architecture; Compression (physics); Data compression; Compression ratio; Artificial intelligence; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004757953,0.0004105897,0.0003468501,0.0005383518,0.0004359525,0.0009890656,0.001412697,0.0006531373,0.002154607],"category_scores_gemma":[0.001164075,0.0002437131,0.0002589648,0.0003845827,0.0008397063,0.002204116,0.001310475,0.0009810233,0.000562903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004007902,"about_ca_system_score_gemma":0.0003614539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006007991,"about_ca_topic_score_gemma":0.0005670037,"domain_scores_codex":[0.9996709,0.00003806449,0.00002054475,0.00004305159,0.0001874055,0.00004004584],"domain_scores_gemma":[0.9995648,0.0001089465,0.00003881527,0.0001028349,0.0001551066,0.00002937045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007969918,0.0001515066,0.001090907,0.0005268982,0.00007069466,0.0005710559,0.000863484,0.0562242,0.4230153,0.1021207,0.005554502,0.4090138],"study_design_scores_gemma":[0.00008937006,0.0006149579,0.0009812297,0.00009051747,0.00006948892,0.001010644,0.0002503984,0.6055045,0.3098825,0.0320797,0.0493248,0.0001019447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02115943,0.0005158646,0.9726238,0.0001950781,0.00007504265,0.00007743642,0.0000226341,0.001855854,0.003474793],"genre_scores_gemma":[0.4376436,0.000925995,0.5527659,0.0002865185,0.0001473058,0.0001750558,0.0001801771,0.000201538,0.007673874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002154607,"threshold_uncertainty_score":0.00720793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976927449439062,"score_gpt":0.2534292999697524,"score_spread":0.2336600254753618,"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."}}