{"id":"W49525344","doi":"10.5281/zenodo.1415895","title":"Music Browsing Using A Tabletop Display.","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Human–computer interaction; Context (archaeology); Selection (genetic algorithm); World Wide Web; Graphical user interface; Process (computing); Multimedia; Interface (matter); Music information retrieval; Information retrieval; Musical; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002738365,0.0006948367,0.0006883764,0.0009522588,0.0008037298,0.001834996,0.001438353,0.00127216,0.165149],"category_scores_gemma":[0.001192771,0.0003424312,0.0004350365,0.001204581,0.0001773515,0.00165233,0.001299603,0.0005356697,0.03650686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001408632,"about_ca_system_score_gemma":0.0002271726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00224188,"about_ca_topic_score_gemma":0.005166983,"domain_scores_codex":[0.9998261,0.00002540017,0.000008655664,0.00004642201,0.00006892233,0.00002443519],"domain_scores_gemma":[0.9994078,0.0001750013,0.0000110447,0.0001988376,0.0001086187,0.00009867144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004124119,0.0002936466,0.001823323,0.0007159657,0.0001315343,0.001490461,0.000465417,0.001064443,0.1393146,0.004674113,0.3620885,0.4838139],"study_design_scores_gemma":[0.000933372,0.0009415879,0.01413595,0.0004017774,0.0002500864,0.00344614,0.0005704528,0.05232925,0.0886338,0.005246277,0.8327724,0.0003389388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06529877,0.003201565,0.3646699,0.001221945,0.002141879,0.0007262633,0.01851751,0.1387768,0.4054453],"genre_scores_gemma":[0.4024913,0.002605135,0.2272717,0.001072744,0.0009468688,0.0004050196,0.01862318,0.008366479,0.3382176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.165149,"threshold_uncertainty_score":0.5524783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05697954708441685,"score_gpt":0.2612284519166228,"score_spread":0.204248904832206,"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."}}