{"id":"W2978223260","doi":"","title":"The Hyper Drumhead: Making Music with a Massive Real-time Physical Model","year":2017,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001875517,0.0001210301,0.0002252446,0.00002874867,0.00295715,0.0002687388,0.002487127,0.00007946532,0.000001024891],"category_scores_gemma":[0.0005657589,0.00004934337,0.0001356017,0.0001141693,0.0001774596,0.0004102049,0.0005182372,0.0004869795,0.00001182723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000235958,"about_ca_system_score_gemma":0.000133913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001309951,"about_ca_topic_score_gemma":0.00007429913,"domain_scores_codex":[0.9986024,0.0002358038,0.0002412248,0.0001035503,0.0005675833,0.0002494285],"domain_scores_gemma":[0.996518,0.000621366,0.001722756,0.0008383205,0.0002773056,0.00002226787],"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":[0.001418845,0.001387595,0.06480991,0.00005775047,0.005828796,0.00005141123,0.1741084,0.05600715,0.01588748,0.3134488,0.2267779,0.1402159],"study_design_scores_gemma":[0.002468542,0.0005339911,0.1718366,0.0003377784,0.0005940091,0.0001172206,0.001170129,0.4725978,0.0009174662,0.3430519,0.005802728,0.0005718235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92707,0.00007606932,0.008299845,0.05802194,0.0006431731,0.0002422591,0.000001934396,0.000049792,0.005594936],"genre_scores_gemma":[0.995819,0.00005660635,0.001074625,0.0002992131,0.0003085089,0.000004314859,4.173559e-8,0.000007883929,0.002429855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4165907,"threshold_uncertainty_score":0.9983408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444524203211832,"score_gpt":0.2559531457867991,"score_spread":0.2415079037546807,"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."}}