{"id":"W6894172290","doi":"10.5281/zenodo.7438304","title":"Web-based Dynamic Visualization of Rhythmic Latent Spaces","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"MIDI; Visualization; Rhythm; Set (abstract data type); Representation (politics); Space (punctuation)","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":[0.0003971764,0.0009107952,0.0005135292,0.001087636,0.0002077846,0.001580567,0.0006977441,0.0006285015,0.01418599],"category_scores_gemma":[0.002075581,0.0002957614,0.0004753919,0.0005880029,0.0002654818,0.001331899,0.001903962,0.001124116,0.002616231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001753328,"about_ca_system_score_gemma":0.0002488849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006719829,"about_ca_topic_score_gemma":0.001043806,"domain_scores_codex":[0.9997852,0.00005225433,0.00001232954,0.00006045364,0.00006251938,0.00002722955],"domain_scores_gemma":[0.9990483,0.0004384909,0.00006505184,0.0001780605,0.0001329608,0.0001372205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003390657,0.0005832246,0.006203206,0.001914132,0.000364551,0.001754999,0.002892467,0.03953614,0.2695354,0.01791539,0.07244005,0.5834697],"study_design_scores_gemma":[0.0004100791,0.0005266504,0.01364558,0.0003483375,0.0001230074,0.001488949,0.000748876,0.6990589,0.1136401,0.03673836,0.1330102,0.000260936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03505488,0.0004238927,0.8857102,0.000266385,0.0001246864,0.0001127792,0.00616924,0.06755956,0.00457832],"genre_scores_gemma":[0.3905253,0.0008113667,0.5804162,0.0002251267,0.0001413202,0.0005128569,0.01113807,0.009227785,0.007002006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01418599,"threshold_uncertainty_score":0.04745686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004256940207296,"score_gpt":0.2474915192998722,"score_spread":0.2174489498977993,"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."}}