{"id":"W2492194528","doi":"","title":"Experimental study of the musician / instrument interaction in the case of the concert harp","year":2012,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Gesture; HARP; Computer science; Set (abstract data type); Musical instrument; Kinematics; Musical; Motion capture; Relation (database); Movement (music); Speech recognition; Human–computer interaction; Acoustics; Motion (physics); Artificial intelligence; Art; Visual arts","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":[0.000821809,0.0004594215,0.0005833463,0.000363996,0.001079312,0.0008823941,0.001162217,0.001578469,0.01614966],"category_scores_gemma":[0.005233534,0.0004213638,0.0003797471,0.0003346386,0.001076988,0.000776721,0.001429995,0.0008930456,0.001739477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751781,"about_ca_system_score_gemma":0.0003345926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006996788,"about_ca_topic_score_gemma":0.0005826342,"domain_scores_codex":[0.9991246,0.0002479797,0.00004749392,0.0002150162,0.0002163809,0.0001484921],"domain_scores_gemma":[0.9966798,0.002045198,0.0001159551,0.0004200093,0.0004750251,0.0002640201],"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":[0.00271546,0.001154013,0.002396929,0.0005566154,0.00004786006,0.001865921,0.003233917,0.001498324,0.9651307,0.001943222,0.0009148436,0.01854224],"study_design_scores_gemma":[0.0006633516,0.02123901,0.06964794,0.0001609066,0.0004414439,0.006932986,0.007444789,0.03373827,0.8390635,0.002785739,0.01762142,0.0002605861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824694,0.0002620418,0.01069845,0.0001481006,0.0001353827,0.0001532225,0.0002674023,0.0001600438,0.005705817],"genre_scores_gemma":[0.9894865,0.0001210679,0.00622046,0.00006901373,0.00004463606,0.00007676596,0.0001579367,0.00007052795,0.003753191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01614966,"threshold_uncertainty_score":0.05402601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346486834586456,"score_gpt":0.2711860388123993,"score_spread":0.2377211704665348,"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."}}