{"id":"W3108353230","doi":"","title":"The Desire to Acquire : London Collects","year":2016,"lang":"en","type":"book","venue":"Museum London eBooks","topic":"Historical Art and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Painting; Passion; Portrait; Art; Visual arts; Art history; Selection (genetic algorithm); Aesthetics; Cartography; Geography; Psychology; Artificial intelligence; Social psychology; Computer science","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001597903,0.0005634956,0.0005828274,0.0001075616,0.002796814,0.0003032244,0.0005837596,0.0001952756,0.0007390514],"category_scores_gemma":[0.00005381942,0.0002993424,0.0003311045,0.0000166174,0.0005832116,0.00005017364,0.0002442074,0.0003245085,0.002310861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004375779,"about_ca_system_score_gemma":0.0002456112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002788263,"about_ca_topic_score_gemma":0.004440752,"domain_scores_codex":[0.9978663,0.00005779407,0.0004376335,0.0005113005,0.0004892519,0.0006377387],"domain_scores_gemma":[0.9985167,0.0002337813,0.0001839686,0.0005690347,0.0002939807,0.0002025757],"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":[0.00004907321,0.000009140717,2.324423e-7,0.00003155836,0.0001075023,0.00001668653,0.01090275,2.505531e-8,0.00001151116,0.2801063,0.6943856,0.01437952],"study_design_scores_gemma":[0.0002507843,0.0001958079,0.000001235334,0.0002273878,0.0000770492,0.000002278173,0.0002284554,1.391367e-7,0.00002926427,0.0116751,0.9868116,0.0005008377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001623062,0.002152394,0.00000675249,0.001727793,0.002917825,0.0006894715,0.0000812788,0.0002259073,0.9921824],"genre_scores_gemma":[0.001862983,0.00009865294,0.000007018417,0.001244429,0.004160181,0.0002059522,0.00001310936,0.0001046678,0.992303],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.292426,"threshold_uncertainty_score":0.9999459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413393682444014,"score_gpt":0.2053127619108406,"score_spread":0.1811788250864004,"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."}}