{"id":"W3016014060","doi":"10.3390/app10072468","title":"Automatic Staff Reconstruction within SIMSSA Project","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Universidad de Málaga; McGill University","keywords":"Musical; Computer science; Identification (biology); Scheme (mathematics); Task (project management); Object (grammar); Process (computing); Artificial intelligence; Engineering; Visual arts; Art; Mathematics; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007360921,0.0009832348,0.0007835269,0.002019481,0.000460567,0.001129164,0.0008970624,0.0008675011,0.010102],"category_scores_gemma":[0.0009688881,0.000335973,0.0008637515,0.001083619,0.0003000099,0.0007355508,0.00117455,0.0004932955,0.01281252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002985243,"about_ca_system_score_gemma":0.0008071947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00252981,"about_ca_topic_score_gemma":0.002538628,"domain_scores_codex":[0.9992736,0.0001097526,0.00003609732,0.0002024087,0.0002743913,0.0001038578],"domain_scores_gemma":[0.9996767,0.00002939315,0.00002387195,0.0001000878,0.0001282616,0.00004180216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001782607,0.0002114473,0.008583797,0.0003835899,0.0001532814,0.0004740938,0.0005259208,0.01510876,0.1277061,0.005121185,0.06044566,0.7795036],"study_design_scores_gemma":[0.0001987148,0.0003876559,0.01517673,0.0001017964,0.00009925852,0.001075179,0.0006382372,0.5897352,0.1888263,0.007421897,0.1962194,0.0001197152],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07514843,0.0004507588,0.7936099,0.0001510948,0.0002274412,0.0002746043,0.007214988,0.1115115,0.01141124],"genre_scores_gemma":[0.1951978,0.0001995538,0.7661189,0.00007828983,0.00009193302,0.0002231146,0.02155885,0.003317654,0.01321393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.010102,"threshold_uncertainty_score":0.03379458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04477616431578248,"score_gpt":0.2610111781570528,"score_spread":0.2162350138412703,"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."}}