{"id":"W1966846469","doi":"10.1007/s10824-012-9171-9","title":"Black notes and white noise: a hedonic approach to auction prices of classical music manuscripts","year":2012,"lang":"en","type":"article","venue":"Journal of Cultural Economics","topic":"Art History and Market Analysis","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Classical music; Common value auction; Cultural economics; Symphony; Economics; Value (mathematics); Index (typography); Hedonic regression; Order (exchange); Art; Musical; Literature; Visual arts; Econometrics; Mathematics; The arts; Microeconomics; Computer science; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003096417,0.0007109661,0.0008445185,0.00114549,0.001068992,0.006552174,0.00240239,0.001786804,0.01397466],"category_scores_gemma":[0.02002565,0.0007429927,0.0009656317,0.0009004399,0.003182136,0.006670594,0.001764053,0.002635882,0.000466689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988724,"about_ca_system_score_gemma":0.0009538361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003207599,"about_ca_topic_score_gemma":0.003709242,"domain_scores_codex":[0.9986986,0.0006957927,0.00005385016,0.0001246395,0.0002876626,0.0001395252],"domain_scores_gemma":[0.9942614,0.00409718,0.0003901837,0.0003887982,0.0005425214,0.0003199823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001630131,0.0001288069,0.001180536,0.00006437949,0.00004859253,0.000203406,0.000500112,0.03196146,0.0007281852,0.9487871,0.0017434,0.01449109],"study_design_scores_gemma":[0.00004154678,0.00006369367,0.001898998,0.00003571521,0.00003893679,0.00007017291,0.000550634,0.2104197,0.0001766805,0.7847154,0.001940074,0.00004846978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4159063,0.002514315,0.4233484,0.005154761,0.000606436,0.0001509994,0.000201792,0.0001375982,0.1519794],"genre_scores_gemma":[0.9771416,0.0003392944,0.007436795,0.0001374768,0.0002968315,0.00002126207,0.00003318854,0.00004004127,0.0145536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01397466,"threshold_uncertainty_score":0.04674989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05418124469480153,"score_gpt":0.2194669043793304,"score_spread":0.1652856596845289,"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."}}