{"id":"W2472683635","doi":"10.1145/2948910.2948934","title":"Quantitative Evaluation of Percussive Gestures by Ranking Trainees versus Teacher","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Gesture; Stress (linguistics); Ranking (information retrieval); Set (abstract data type); Computer science; Feature (linguistics); Kinematics; Speech recognition; Artificial intelligence; Natural language processing; Linguistics","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":[0.0009696807,0.000204617,0.0003277539,0.0001258992,0.00009751657,0.00003155877,0.0008296157,0.0003142219,0.00007283423],"category_scores_gemma":[0.0004726192,0.0001353078,0.0001094672,0.00008867997,0.0002050978,0.0001106691,0.0007527347,0.0003071755,0.000008497749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007630715,"about_ca_system_score_gemma":0.0001377432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004018683,"about_ca_topic_score_gemma":0.00003682342,"domain_scores_codex":[0.9983518,0.0002183796,0.0002553977,0.0004811048,0.0005152352,0.000178106],"domain_scores_gemma":[0.9985543,0.0002937328,0.0002232115,0.0005526292,0.0003557054,0.00002035982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001511999,0.0002313798,0.0003739686,0.0001093287,0.001529366,0.000003907267,0.0702096,0.0001203248,0.002237231,0.6679883,0.05051722,0.2065282],"study_design_scores_gemma":[0.005241021,0.0008556982,0.004183833,0.0005702181,0.0004733343,0.000003851482,0.005814019,0.03847076,0.003552122,0.9370438,0.002436665,0.00135471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3153918,0.007014519,0.6042506,0.005243909,0.002400194,0.0008396938,0.00002674247,0.0004653732,0.0643672],"genre_scores_gemma":[0.9877149,0.0000836422,0.01159272,0.00003634874,0.00003667739,0.00008117713,0.000004098018,0.000006858272,0.0004435638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6723231,"threshold_uncertainty_score":0.5517692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08007186775417226,"score_gpt":0.3467673696722934,"score_spread":0.2666955019181212,"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."}}