{"id":"W4323838369","doi":"10.3138/utq.92.1.01","title":"Literature as a Technology of Commemoration at Expo 67","year":2023,"lang":"en","type":"article","venue":"University of Toronto Quarterly","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Exhibition; Humanism; Theme (computing); Poetry; Centennial; Event (particle physics); History; Literature; Convention; Sociology; Aesthetics; Art history; Art; Social science; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003766779,0.0004490607,0.00032674,0.004816086,0.02713814,0.01382561,0.002286335,0.001818474,0.01136338],"category_scores_gemma":[0.007820342,0.0002760789,0.0003206674,0.004986136,0.02861667,0.005030528,0.009159538,0.003447367,0.0009730462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03293622,"about_ca_system_score_gemma":0.03247042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4580649,"about_ca_topic_score_gemma":0.6842803,"domain_scores_codex":[0.9960468,0.001000017,0.00006086365,0.0003661437,0.001374878,0.001151196],"domain_scores_gemma":[0.9926929,0.002093066,0.0004054882,0.0009966195,0.002090352,0.001721526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007067885,0.00004136693,0.003080698,0.0001289571,0.00001182794,0.002375209,0.5795058,0.0001138626,0.002056723,0.3393557,0.0292427,0.04401657],"study_design_scores_gemma":[0.000004781163,0.00002830368,0.004823843,0.0002056053,0.00001074428,0.0003853508,0.2563027,0.00006042733,0.0008594727,0.006661093,0.7306229,0.00003479295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2270498,0.002410079,0.002371243,0.01959427,0.001086123,0.00009081505,0.0002432537,0.0002512214,0.7469032],"genre_scores_gemma":[0.8831454,0.001064069,0.001232003,0.001568437,0.0002524184,0.00005097087,0.00009364988,0.0001744216,0.1124186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5419351,"threshold_uncertainty_score":0.9107973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00647425403494477,"score_gpt":0.2033942594541575,"score_spread":0.1969200054192128,"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."}}