{"id":"W7007946993","doi":"","title":"Approaches to Real Time Ambisonic Spatialization and Sound Diffusion using\\n Motion Capture","year":2016,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ambisonics; Spatialization; Motion capture; Sound (geography); Motion (physics); Gesture; Binaural recording; Diffusion","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":[0.000800841,0.000491064,0.000339532,0.0007367546,0.0005519905,0.001684666,0.001122372,0.0005084007,0.002278113],"category_scores_gemma":[0.002384512,0.0004048665,0.0003523802,0.000445312,0.002022617,0.00162568,0.001790468,0.0007811041,0.0002487876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000803185,"about_ca_system_score_gemma":0.0004757087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002428208,"about_ca_topic_score_gemma":0.002469343,"domain_scores_codex":[0.9992425,0.0001877366,0.00003521869,0.0002061156,0.0002511628,0.00007720066],"domain_scores_gemma":[0.9990065,0.0005108531,0.000123759,0.0001640006,0.0001477568,0.0000472424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005729725,0.0001881326,0.002632491,0.0005433101,0.0001008698,0.0002531596,0.008007641,0.04098463,0.2660387,0.1631793,0.00137549,0.5161235],"study_design_scores_gemma":[0.0002412872,0.00121273,0.01342745,0.0004026234,0.0002652171,0.001316253,0.005164405,0.3843837,0.3632124,0.06951675,0.1602764,0.0005807065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04467298,0.0005921158,0.9409717,0.0002220375,0.0000500099,0.00009044541,0.00002489938,0.0004307788,0.01294507],"genre_scores_gemma":[0.7070555,0.001141293,0.2812464,0.0001448733,0.00006224111,0.000219908,0.00006927834,0.0001540256,0.009906371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002428208,"threshold_uncertainty_score":0.00762105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189707357959863,"score_gpt":0.2242306909075905,"score_spread":0.1923336173279919,"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."}}