{"id":"W1977278242","doi":"10.1007/s00530-007-0106-9","title":"Perception-based lossy haptic compression considerations for velocity-based interactions","year":2007,"lang":"en","type":"article","venue":"Multimedia Systems","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Haptic technology; Lossy compression; Computer science; Data compression; Computer vision; Bandwidth (computing); Artificial intelligence; Telecommunications","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":[0.0005907239,0.0008356033,0.0005299303,0.0005778524,0.0006689165,0.002078694,0.001174006,0.001347387,0.01171391],"category_scores_gemma":[0.005128388,0.0003488949,0.0003420151,0.000423409,0.001226491,0.003699513,0.001268671,0.001288588,0.0008830724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005609289,"about_ca_system_score_gemma":0.0004150113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009418031,"about_ca_topic_score_gemma":0.0007939913,"domain_scores_codex":[0.9994245,0.00005812536,0.00002103521,0.00005828178,0.0003555086,0.00008251878],"domain_scores_gemma":[0.9978764,0.001278603,0.0001223256,0.000246131,0.0004061982,0.000070364],"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":[0.000727532,0.0001919529,0.0009943775,0.0007374317,0.0000560584,0.001464037,0.0004041447,0.1142056,0.1306785,0.5632002,0.005236137,0.1821041],"study_design_scores_gemma":[0.00003098435,0.0001404442,0.001528446,0.0001111757,0.00004974401,0.001893608,0.0002085671,0.8008912,0.03733467,0.1511714,0.006586056,0.00005371361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04995058,0.002109497,0.9021748,0.00206313,0.0003615384,0.00006811575,0.0001041565,0.0002464585,0.04292172],"genre_scores_gemma":[0.9385657,0.002339103,0.04414328,0.0004727019,0.0004827897,0.00009011543,0.00007745259,0.0002331866,0.01359566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01171391,"threshold_uncertainty_score":0.03918695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08394328893022607,"score_gpt":0.3368826237415945,"score_spread":0.2529393348113684,"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."}}