{"id":"W1969472424","doi":"10.1121/1.4785792","title":"Distributed digital music archives and libraries","year":2005,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Digitization; Metadata; Workflow; Computer science; World Wide Web; Phonograph; Cultural heritage; Digital library; Digital audio; Multimedia; Archivist; Music information retrieval; Digital preservation; Musical; Library science; Visual arts; Audio signal; Telecommunications; Database; Engineering","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":[0.0001374722,0.00007739337,0.0001623041,0.000007828213,0.0001787642,0.0001155135,0.000819788,0.00002045481,0.000007163973],"category_scores_gemma":[0.00008089517,0.00003663547,0.0001485552,0.0001819884,0.0007996524,0.0004357989,0.0004117725,0.0002229658,8.192081e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007762722,"about_ca_system_score_gemma":0.00006923834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001080535,"about_ca_topic_score_gemma":2.21842e-8,"domain_scores_codex":[0.9992672,0.00003988639,0.0002490422,0.00005567327,0.0002426357,0.0001455607],"domain_scores_gemma":[0.9989879,0.000422582,0.0003078014,0.0001854719,0.0000344676,0.00006180164],"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":[0.0000491389,0.0001557274,0.0002920667,0.0000479118,0.0001527756,9.985071e-7,0.008821421,0.004204132,0.005535643,0.0002803963,0.05920397,0.9212558],"study_design_scores_gemma":[0.0007826216,0.0003382318,0.006014507,0.0002367219,0.0001677035,0.000334815,0.003019376,0.9124546,0.003530793,0.02592173,0.04689153,0.000307348],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01131927,0.0004859181,0.9686593,0.01921975,0.00005444282,0.00002744607,0.000004213495,0.00001013656,0.0002194801],"genre_scores_gemma":[0.8525806,0.0001141564,0.1445233,0.002556819,0.0001679917,1.474728e-7,1.399564e-7,0.000003974631,0.00005291731],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9209484,"threshold_uncertainty_score":0.2946352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109011479927363,"score_gpt":0.2124038881866294,"score_spread":0.2015027401938931,"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."}}