{"id":"W4396557416","doi":"10.5840/symposium20242813","title":"Composition for Voices: Jean-Luc Nancy’s Musical Subject","year":2024,"lang":"en","type":"article","venue":"Symposium","topic":"Musicology and Musical Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Musical; Subject (documents); Musical composition; Art; Art history; Visual arts; Computer science; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001576971,0.0001492977,0.0002077674,0.0001136693,0.0003584076,0.0002687543,0.0001265527,0.00007833423,0.003583366],"category_scores_gemma":[0.00001229083,0.0001170404,0.0002609606,0.00005802178,0.0001905555,0.0001874091,0.0000315297,0.0001404588,0.0005401206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003095303,"about_ca_system_score_gemma":0.00003345888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000111278,"about_ca_topic_score_gemma":0.0008597696,"domain_scores_codex":[0.9990429,0.0000406198,0.000211354,0.0003231527,0.0001190294,0.0002629823],"domain_scores_gemma":[0.9993623,0.0003122646,0.00003009745,0.000155993,0.00007290631,0.00006645791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006297457,0.0001441687,0.000006559083,0.00024129,0.0002225773,0.00002170776,0.00875691,0.00002428227,0.00709686,0.8942141,0.08698381,0.002224775],"study_design_scores_gemma":[0.0002080311,0.0001611329,0.00001770676,0.0000646757,0.000251062,0.000002976561,0.0002074275,0.003300808,0.0005968027,0.006050445,0.988932,0.0002069112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3169088,0.00322955,0.007224725,0.06089306,0.02126407,0.002084708,0.0008223785,0.002094666,0.585478],"genre_scores_gemma":[0.9710377,0.00002341684,0.00007376783,0.001622408,0.003091465,0.0001137114,0.0001483671,0.00002480522,0.02386432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9019482,"threshold_uncertainty_score":0.9973275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247062183375674,"score_gpt":0.2494366018571109,"score_spread":0.2247303835195435,"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."}}