{"id":"W3209666571","doi":"10.1145/3462204.3481765","title":"Listening Together while Apart: Intergenerational Music Listening","year":2021,"lang":"en","type":"article","venue":"","topic":"Diverse Music Education Insights","field":"Arts and Humanities","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Active listening; Computer science; Appreciative listening; Speech recognition; Psychology; Communication","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":[0.001269803,0.0003634686,0.000139167,0.0007069929,0.002594712,0.003470122,0.0007993761,0.0008258322,0.009362265],"category_scores_gemma":[0.004396119,0.0002072616,0.0002493309,0.0003675948,0.00223997,0.003318476,0.005505464,0.0009162744,0.0007144228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006091153,"about_ca_system_score_gemma":0.0008231288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002228247,"about_ca_topic_score_gemma":0.007525179,"domain_scores_codex":[0.9990564,0.0005281123,0.00001776253,0.0001260755,0.0001339339,0.0001376339],"domain_scores_gemma":[0.9981266,0.001054811,0.000146583,0.0002491634,0.0001332672,0.0002896518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003042553,0.0006479081,0.04049077,0.0004635687,0.00006341906,0.004880704,0.634308,0.0005083174,0.02406402,0.04404784,0.006720043,0.2435012],"study_design_scores_gemma":[0.00008245488,0.0007355601,0.07806712,0.0006317945,0.0002468647,0.004114845,0.5923657,0.002461985,0.01330215,0.03782206,0.2700111,0.0001583962],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8396263,0.0005256584,0.01917145,0.001479746,0.0001198329,0.0001300929,0.0001206606,0.000204163,0.1386222],"genre_scores_gemma":[0.9890275,0.0001946104,0.006015322,0.0001806919,0.00001404935,0.00006062511,0.00004189766,0.00003411184,0.00443122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009362265,"threshold_uncertainty_score":0.03131986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07803949594530407,"score_gpt":0.2462396437920057,"score_spread":0.1682001478467017,"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."}}