{"id":"W2120916553","doi":"10.1109/cbmi.2009.46","title":"Content-Aware Web Browsing and Visualization Tools for Cantillation and Chant Research","year":2009,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Melody; Visualization; Computer science; Process (computing); Musicology; Music information retrieval; World Wide Web; Multimedia; Data visualization; Information retrieval; Human–computer interaction; Artificial intelligence; Musical; Visual arts; Art","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":[0.0003934829,0.00004799552,0.00006704147,0.00007962874,0.0002491912,0.0004965927,0.00007168388,0.00003027288,0.000002114904],"category_scores_gemma":[0.00007498626,0.0000399786,0.000007481623,0.0001597015,0.00002473624,0.0007128809,0.00004146952,0.00003353529,5.274125e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001109216,"about_ca_system_score_gemma":0.00003821508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001116742,"about_ca_topic_score_gemma":0.00001272984,"domain_scores_codex":[0.9993843,0.00002403999,0.00009519807,0.0002024325,0.0001356881,0.0001583521],"domain_scores_gemma":[0.9996056,0.00009396959,0.0000288361,0.00007749555,0.000151174,0.00004293758],"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":[0.000009534608,0.00001585891,0.0005934354,0.00004948067,0.000003412606,0.000001242016,0.001038035,0.000006541051,0.02787616,0.1093036,0.001340559,0.8597621],"study_design_scores_gemma":[0.0008235001,0.0002338999,0.01293983,0.0001535468,0.000003964637,0.00001908157,0.0003614417,0.9559717,0.01620897,0.007404968,0.005657529,0.000221558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1529308,0.0001958831,0.843185,0.002672227,0.00004154909,0.0001907288,6.118195e-7,0.00005453991,0.0007286394],"genre_scores_gemma":[0.9914161,0.00003539206,0.007565103,0.0006495033,0.00004952228,0.000002873529,0.000002038749,0.000002553332,0.0002769377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9559652,"threshold_uncertainty_score":0.4788655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.253250461506233,"score_gpt":0.3939868570073723,"score_spread":0.1407363955011393,"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."}}