{"id":"W6939085978","doi":"10.60692/11vgf-sf076","title":"Comparative Latency Analysis of Optical and Inertial Motion Capture Systems for Gestural Analysis and Musical Performance","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Motion capture; Synchronizing; Synchronization (alternating current); Wireless; Latency (audio); Capture effect; Inertial measurement unit; Process (computing)","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":[0.001258201,0.0005498894,0.0002776739,0.001762,0.0003632204,0.000732264,0.000494275,0.0004212637,0.002732144],"category_scores_gemma":[0.006499766,0.0001805561,0.0002471605,0.001185499,0.0002612484,0.001032466,0.0005749201,0.0002897169,0.0005625627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005887258,"about_ca_system_score_gemma":0.000481661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396416,"about_ca_topic_score_gemma":0.001657775,"domain_scores_codex":[0.9986836,0.0001849583,0.00009646286,0.0001642766,0.0006531642,0.0002175755],"domain_scores_gemma":[0.9949661,0.002329431,0.0004927471,0.0003787933,0.00167598,0.0001570714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007063009,0.0004778326,0.06144337,0.001864743,0.000258163,0.0009917145,0.001377663,0.02954022,0.585844,0.005360918,0.001996951,0.3037814],"study_design_scores_gemma":[0.0002017867,0.01136617,0.289338,0.0002129878,0.0004901559,0.002897403,0.002343377,0.1734866,0.5011587,0.002531218,0.01576343,0.0002101354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142665,0.001936616,0.07710565,0.00012529,0.000115176,0.0002297383,0.0006426716,0.0008752632,0.004703108],"genre_scores_gemma":[0.9902214,0.0003826849,0.007226235,0.0000359523,0.0000233965,0.0001168707,0.0004541393,0.00006615484,0.00147315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002732144,"threshold_uncertainty_score":0.009139955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100604900418364,"score_gpt":0.2267753912131646,"score_spread":0.195769342208981,"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."}}