{"id":"W3092503242","doi":"","title":"On Local Keys, Modulations, and Tonicizations","year":2020,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Key (lock); Terminology; Computer science; Musical; Modulation (music); Musicology; Fragment (logic); Information retrieval; Linguistics; Algorithm; Physics; Acoustics; Art; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007236215,0.0001104878,0.000111539,0.0000534596,0.0003639615,0.0003125501,0.0005610897,0.0000491303,0.00004144446],"category_scores_gemma":[0.0004969399,0.0001119657,0.00003565607,0.0004535157,0.0001085968,0.0002949394,0.0003002734,0.0001364827,0.00003815905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002363664,"about_ca_system_score_gemma":0.00008391924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004652202,"about_ca_topic_score_gemma":0.00003914749,"domain_scores_codex":[0.998377,0.0006734213,0.0001892307,0.0003906931,0.0002059477,0.0001637115],"domain_scores_gemma":[0.9983165,0.0004653804,0.0001034479,0.0005591257,0.0003975812,0.000157948],"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":[0.00000167079,0.0000816072,0.0002626241,0.00001703831,0.000009183452,0.000001691608,0.0053807,0.0003653956,0.0006709399,0.8525845,0.00177496,0.1388496],"study_design_scores_gemma":[0.0005209664,9.698122e-7,0.003013979,0.0002528022,0.00001012766,0.000007686142,0.00007957709,0.9400409,0.0210337,0.01406979,0.02065683,0.0003126607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01110176,0.0002184681,0.9109247,0.05506081,0.00003417206,0.00008462172,0.000002727123,0.0001824904,0.02239023],"genre_scores_gemma":[0.9237491,0.00004544577,0.07339163,0.001981244,0.00001020282,0.000007242915,0.00001606413,0.000009590027,0.0007895094],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9396755,"threshold_uncertainty_score":0.456583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324803230634041,"score_gpt":0.210020225309027,"score_spread":0.1967721930026866,"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."}}