{"id":"W4391412399","doi":"10.3138/9781487541385-008","title":"6 The “Total Image”: The Making of Willowdale Modern","year":2020,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Historical Art and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Computer science; Computer vision","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":[0.00203614,0.0005764515,0.0002032333,0.001077489,0.01570393,0.01008092,0.0007496372,0.001917679,0.0210176],"category_scores_gemma":[0.001775879,0.0002847597,0.0001964882,0.0004898443,0.02215216,0.006410192,0.006789581,0.003997921,0.002292453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006441098,"about_ca_system_score_gemma":0.003549683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02204072,"about_ca_topic_score_gemma":0.07815138,"domain_scores_codex":[0.9986351,0.0004879546,0.00002099626,0.0002273276,0.0002961023,0.0003325137],"domain_scores_gemma":[0.9995942,0.00005578928,0.0000226244,0.00004539864,0.00008552476,0.0001964331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001899192,0.00001339917,0.0002394907,0.00001739444,0.00000187089,0.00008215632,0.02843804,0.00001862933,0.0001721598,0.8831085,0.07041759,0.0174718],"study_design_scores_gemma":[0.000003447118,0.00001375284,0.0003542233,0.00006597325,0.00000183074,0.00005280296,0.01350686,0.00002825816,0.0001806391,0.02053566,0.9652488,0.000007744516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03175144,0.005710285,0.002885641,0.03046701,0.003620079,0.00003809363,0.00004694443,0.00008974104,0.9253907],"genre_scores_gemma":[0.4421901,0.002385216,0.002294678,0.007769403,0.0007576083,0.00004850073,0.00005214282,0.0002827639,0.5442196],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02204072,"threshold_uncertainty_score":0.07031089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609112881231889,"score_gpt":0.1829278885752284,"score_spread":0.1568367597629095,"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."}}