{"id":"W4400209669","doi":"10.53555/sfs.v10i3.2839","title":"\"An Approach To Discover Similar Musical Patterns Using Natural Language Processing \"","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Musical; Computer science; Natural (archaeology); Natural language processing; Linguistics; Artificial intelligence; History; Art; Visual arts; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004905404,0.002158563,0.001191241,0.01245269,0.002705644,0.005324492,0.004351066,0.002986117,0.005522237],"category_scores_gemma":[0.01456861,0.001099038,0.003891807,0.007321753,0.005070971,0.008390017,0.005707785,0.002891029,0.002550155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728764,"about_ca_system_score_gemma":0.003754431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005277974,"about_ca_topic_score_gemma":0.007372362,"domain_scores_codex":[0.9938426,0.001804443,0.0004897509,0.002288759,0.001384519,0.0001899683],"domain_scores_gemma":[0.994454,0.00312759,0.000656588,0.0009342781,0.0006725395,0.0001549603],"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":[0.0003987012,0.0005448362,0.006590702,0.002143757,0.0005341519,0.001790011,0.007266534,0.01622285,0.0222242,0.1992285,0.01853225,0.7245235],"study_design_scores_gemma":[0.0001755389,0.0003216908,0.004578636,0.0005660859,0.0003579108,0.00248824,0.005405432,0.3038951,0.008998437,0.5680304,0.1049305,0.0002519474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00539517,0.0005865982,0.9861032,0.001685166,0.0001005335,0.0005523695,0.0008394658,0.001482065,0.003255552],"genre_scores_gemma":[0.0258142,0.0003173965,0.9702833,0.000457876,0.00007248632,0.0005343693,0.001117655,0.00008726242,0.001315331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01245269,"threshold_uncertainty_score":0.02594256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1768834215747893,"score_gpt":0.3212443861722871,"score_spread":0.1443609645974978,"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."}}