{"id":"W2930090948","doi":"10.1007/s10824-019-09343-6","title":"Relationships between artistic movements and careers of modern artists: evidence from hedonic regressions with auction data","year":2019,"lang":"en","type":"article","venue":"Journal of Cultural Economics","topic":"Art History and Market Analysis","field":"Arts and Humanities","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"RMIT University; Fonds de Recherche du Québec-Société et Culture; Trinity College Dublin","keywords":"Creativity; Cultural economics; Valuation (finance); Hedonic regression; Context (archaeology); Association (psychology); Movement (music); The arts; Regression analysis; Sociology; Economics; Art; Aesthetics; Visual arts; Psychology; Econometrics; History; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002496631,0.00007907002,0.0002440016,0.00005364351,0.000149966,0.00005403323,0.0001684088,0.000029636,0.0002255903],"category_scores_gemma":[0.00006113182,0.00005478879,0.00004443544,0.0000139634,0.0001117654,0.001300285,0.00004978544,0.0001649195,0.000007170469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007041874,"about_ca_system_score_gemma":0.00004408471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009720034,"about_ca_topic_score_gemma":0.001173878,"domain_scores_codex":[0.9992995,0.00005005574,0.0003841689,0.0001185179,0.00007611242,0.00007169601],"domain_scores_gemma":[0.9989005,0.0001364532,0.0005811661,0.0002049592,0.0001156623,0.00006129377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001850058,0.0002670851,0.7060319,0.0003298837,0.005026173,0.00002279927,0.1938741,0.01841302,0.001199169,0.01721174,0.0171014,0.03867261],"study_design_scores_gemma":[0.009313975,0.003857131,0.3503807,0.007086493,0.00817711,0.0001309694,0.1619627,0.08723844,0.0006224599,0.0699388,0.2981251,0.00316606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978246,0.0007190694,0.0002037414,0.0001655953,0.0001603681,0.00005108515,0.00008559605,0.000003456372,0.0007864835],"genre_scores_gemma":[0.9976832,0.0002916495,0.0003554342,0.00001437617,0.0002164428,4.083502e-7,0.00003748699,0.00000573899,0.001395276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3556512,"threshold_uncertainty_score":0.2470056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150820109975923,"score_gpt":0.2566359417789348,"score_spread":0.1415539307813425,"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."}}