{"id":"W2765217769","doi":"10.1145/3144749.3144751","title":"PatternFinder","year":2017,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Centro de Investigação em Biomedicina; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Helsingin Yliopisto","keywords":"Polyphony; Melody; Computer science; Python (programming language); Music information retrieval; Pop music automation; Relevance (law); Music theory; Software; Notation; Musicology; The Renaissance; Musical notation; Musical; Musical composition; Programming language; Art; Linguistics; Visual arts; Literature","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":[0.001216374,0.002132671,0.001442023,0.005351567,0.001042258,0.003043787,0.003772984,0.001798727,0.08636264],"category_scores_gemma":[0.007182697,0.0009720627,0.001668322,0.004124883,0.0005184611,0.003719884,0.0036336,0.001658286,0.07733151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007353871,"about_ca_system_score_gemma":0.001650573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188023,"about_ca_topic_score_gemma":0.003379365,"domain_scores_codex":[0.9982886,0.0001137359,0.0002023425,0.0005821541,0.0006681995,0.0001450354],"domain_scores_gemma":[0.9984775,0.0004221882,0.000168294,0.0004464837,0.0003781884,0.0001073957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008946526,0.0001329619,0.003535281,0.001998005,0.0002103961,0.000481463,0.0004073512,0.001887943,0.01424739,0.01294688,0.5125886,0.4506689],"study_design_scores_gemma":[0.0002828602,0.0001131975,0.003914709,0.0001906783,0.00006797262,0.001220106,0.0002694226,0.02853721,0.03030482,0.01861272,0.916362,0.0001242425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006930658,0.001499359,0.3663265,0.0005396801,0.0005167053,0.000642794,0.09840114,0.4975811,0.02756212],"genre_scores_gemma":[0.04555219,0.0009998375,0.6247202,0.0008241631,0.0001701737,0.001676107,0.2401493,0.04306645,0.04284154],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.08636264,"threshold_uncertainty_score":0.2889118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03132283491685223,"score_gpt":0.2779136166739687,"score_spread":0.2465907817571165,"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."}}