{"id":"W783160902","doi":"","title":"Looking at archival sound: enhancing the listening experience in audio archives","year":2012,"lang":"en","type":"article","venue":"Spectrum Research Repository (Concordia University)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Active listening; Reading (process); Variety (cybernetics); Poetry; Context (archaeology); Computer science; Perspective (graphical); Sound (geography); Multimedia; Visual arts; Linguistics; Psychology; History; Art; Communication; Artificial intelligence; Literature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004113255,0.0005144606,0.0003753005,0.00132071,0.002238752,0.008123802,0.001364029,0.001458973,0.0109448],"category_scores_gemma":[0.01441806,0.0002972624,0.0004887173,0.0008734884,0.003141973,0.006765222,0.004981123,0.001548156,0.002150597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006464861,"about_ca_system_score_gemma":0.001107715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009020809,"about_ca_topic_score_gemma":0.003078405,"domain_scores_codex":[0.9978768,0.001376924,0.00006937011,0.0001766387,0.0003203417,0.0001799557],"domain_scores_gemma":[0.9910353,0.006437431,0.0004256842,0.0008479093,0.0005696121,0.0006841208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005332683,0.0005601228,0.00713068,0.002275796,0.00005524234,0.001161364,0.3321545,0.0005240528,0.04124525,0.01289021,0.0121765,0.5892931],"study_design_scores_gemma":[0.0002465175,0.001979204,0.0286787,0.00241025,0.0004521848,0.003581556,0.4870908,0.001939068,0.03068666,0.03200368,0.4106455,0.0002859411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6980246,0.006124856,0.1080019,0.01449779,0.0008780994,0.0004292727,0.0002187314,0.004510358,0.1673144],"genre_scores_gemma":[0.8676023,0.00473715,0.09542243,0.002748772,0.0006591672,0.0004500285,0.0001679594,0.0007127807,0.0274995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109448,"threshold_uncertainty_score":0.03661406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503396900475654,"score_gpt":0.2808389916245469,"score_spread":0.2458050226197904,"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."}}