{"id":"W4327507877","doi":"10.5040/9781350924383.29393","title":"Watson Art Galleries","year":2022,"lang":"en","type":"other","venue":"","topic":"Art History and Market Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watson; Art; Art history; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005049395,0.0001282797,0.0001859297,0.0001519363,0.0002266462,0.00003535654,0.0001175352,0.0000346122,0.974129],"category_scores_gemma":[0.000003360267,0.0001060788,0.0001269957,0.00001118796,0.0001248678,0.00002874589,0.00005909261,0.00009981261,0.003561997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627885,"about_ca_system_score_gemma":0.00001484661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002399418,"about_ca_topic_score_gemma":0.01794729,"domain_scores_codex":[0.9995008,0.00002681987,0.00008654055,0.0001555539,0.0001261656,0.0001041056],"domain_scores_gemma":[0.999699,0.000009105178,0.00006058659,0.0001985825,0.000007083048,0.00002561977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002485134,0.00001345584,0.000002080688,0.00001391261,0.00008520543,0.000004159381,0.001890244,3.693208e-8,6.379764e-8,0.1056087,0.8919122,0.0004673853],"study_design_scores_gemma":[0.00003358941,0.00001905507,1.336974e-7,0.000004255237,0.00005399855,2.420592e-7,0.00144205,0.000001036279,9.028667e-8,0.0001402482,0.9981456,0.0001597236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[3.305714e-7,0.0003989628,0.000005773272,0.0001100617,0.0006235066,0.00005473777,0.00002898183,0.0003013945,0.9984763],"genre_scores_gemma":[0.00002166611,0.00008450877,0.00003051691,0.000390862,0.0008220722,0.00002427888,0.0001576167,0.0001814886,0.998287],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.970567,"threshold_uncertainty_score":0.9999726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518423913670994,"score_gpt":0.1801365291576553,"score_spread":0.1649522900209454,"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."}}