{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007540162,0.000389083,0.0002890354,0.0008644616,0.005135088,0.00790089,0.0004438782,0.001500456,0.04000326],"category_scores_gemma":[0.001417891,0.0004112825,0.0001833624,0.002083594,0.004896548,0.005785669,0.003722343,0.001630588,0.007864129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007204653,"about_ca_system_score_gemma":0.005468808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09230954,"about_ca_topic_score_gemma":0.4141173,"domain_scores_codex":[0.9992284,0.0001637105,0.00004668839,0.000103501,0.0002983833,0.0001593365],"domain_scores_gemma":[0.9995251,0.0001227788,0.00006036555,0.0001029981,0.00009628016,0.00009252279],"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":[0.00003484703,0.00001100668,0.0008790634,0.0002788857,0.000005193398,0.000406201,0.05139342,0.00003696621,0.0003641107,0.2068131,0.7003285,0.0394486],"study_design_scores_gemma":[0.000001578893,0.000001794202,0.0005670136,0.0001030457,8.799017e-7,0.0000760205,0.004695775,0.000001991577,0.00003644868,0.001365182,0.9931468,0.000003394008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007510899,0.03144762,0.0001822096,0.01396209,0.0007261268,0.00002049672,0.0004985138,0.00004345509,0.9456086],"genre_scores_gemma":[0.07352501,0.01147527,0.0002197745,0.002970852,0.0002496499,0.00005689179,0.0002593959,0.0001383063,0.9111047],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09230954,"threshold_uncertainty_score":0.1835445,"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."}}