{"id":"W3209514945","doi":"10.5281/zenodo.2558826","title":"Predictive Musical Interaction with MDRNNs","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Musical; Computer science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005432516,0.0004007308,0.0003812961,0.0001707169,0.0001940902,0.0006269323,0.0009439007,0.0005258486,0.004209011],"category_scores_gemma":[0.001843363,0.0003116784,0.0003904976,0.0001505126,0.0002794709,0.0007745263,0.001034286,0.0007653827,0.000896627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003791946,"about_ca_system_score_gemma":0.0002054821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002445042,"about_ca_topic_score_gemma":0.002828566,"domain_scores_codex":[0.9997581,0.00004936777,0.00001454433,0.00007642999,0.00007527326,0.0000263187],"domain_scores_gemma":[0.9995975,0.0001965016,0.00003177836,0.00006710274,0.00008511244,0.00002197414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007218381,0.0001991348,0.002044969,0.0001836073,0.000119804,0.0003314626,0.0003284753,0.6452519,0.06161236,0.01603354,0.004663465,0.2685094],"study_design_scores_gemma":[0.000006275758,0.00002240089,0.0001425973,0.000003619788,0.000005826316,0.00001687895,0.00000423705,0.9958144,0.00198304,0.001281378,0.0007149334,0.000004399344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1107507,0.0005625836,0.8704543,0.0006545444,0.0002298723,0.00006791612,0.0002627922,0.0049769,0.01204031],"genre_scores_gemma":[0.9302116,0.000138051,0.06289201,0.0001189408,0.00004363224,0.00005201533,0.0001615036,0.0001192671,0.006263055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004209011,"threshold_uncertainty_score":0.01408052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118233145871513,"score_gpt":0.2481070852713115,"score_spread":0.2169247538125964,"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."}}