{"id":"W2948715380","doi":"10.29173/spectrum33","title":"Keeping the Song Alive in Mechanical Music Collections of New York and New Jersey","year":2019,"lang":"en","type":"article","venue":"Spectrum","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Musical; Visual arts; Materiality (auditing); Art history; Art; Amateur; History; Archaeology; Aesthetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0009429241,0.000173446,0.0002947227,0.004030864,0.007361782,0.003046578,0.001003417,0.0003234917,0.00482302],"category_scores_gemma":[0.002854867,0.0005032403,0.0002073992,0.005946518,0.004547713,0.002071894,0.004734295,0.0006436476,0.0002116019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00933923,"about_ca_system_score_gemma":0.005055008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4799833,"about_ca_topic_score_gemma":0.9163051,"domain_scores_codex":[0.999245,0.0001239351,0.00003608458,0.000164613,0.0002738862,0.0001565373],"domain_scores_gemma":[0.9983347,0.0005531737,0.0004566863,0.0001637555,0.0002622031,0.0002295958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003126796,0.00008712534,0.1438053,0.0005047704,0.0001009562,0.003410336,0.7487575,0.0001868119,0.00711345,0.005369362,0.009389875,0.0809617],"study_design_scores_gemma":[0.000009322379,0.00004874145,0.6516291,0.0001484596,0.00004870367,0.0007099712,0.2740707,0.00006163201,0.0008609956,0.0001353581,0.07223088,0.00004609509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800155,0.001233893,0.00024285,0.0003307903,0.00002708376,0.00007051357,0.000512949,0.00002057109,0.01754585],"genre_scores_gemma":[0.9841083,0.001413297,0.000937073,0.0001384119,0.00002256205,0.00008934841,0.0007578972,0.00005525686,0.01247795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4799833,"threshold_uncertainty_score":0.954379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0587808407278828,"score_gpt":0.2179735467996415,"score_spread":0.1591927060717587,"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."}}