{"id":"W2069422456","doi":"10.1080/00144940.2014.902791","title":"Lucy Maud Montgomery and Stephen Leacock's Shared Canadian Figure","year":2014,"lang":"en","type":"article","venue":"The Explicator","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Art history; Art; Image (mathematics); Performance art; History; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001017423,0.0008716999,0.0004867463,0.002324235,0.0152183,0.005531292,0.001210846,0.002249734,0.2221582],"category_scores_gemma":[0.003599525,0.0003355659,0.0004581314,0.001811319,0.003307801,0.002037935,0.00345032,0.003700389,0.03244524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02775457,"about_ca_system_score_gemma":0.02187929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9074524,"about_ca_topic_score_gemma":0.9786275,"domain_scores_codex":[0.9986097,0.0001376258,0.00001752999,0.0001876825,0.0006986742,0.0003488489],"domain_scores_gemma":[0.997371,0.0001696869,0.00003506497,0.0001132869,0.00137706,0.0009339799],"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":[0.00000471982,0.000003957803,0.0001258445,0.000007476716,0.000001152853,0.000040568,0.0004483047,0.00001501832,0.00005739115,0.00483604,0.9881648,0.006294733],"study_design_scores_gemma":[9.802989e-7,7.837001e-7,0.0002496854,0.00001269517,0.000001165545,0.0000362368,0.0009508169,0.00001114781,0.00005399057,0.0003322941,0.998343,0.000007251094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004255432,0.008692769,0.00193594,0.2411884,0.02621213,0.00009072592,0.002254151,0.0007582138,0.7146122],"genre_scores_gemma":[0.01892947,0.001865241,0.0006884588,0.006247988,0.0007567896,0.00001880896,0.000207499,0.0001900888,0.9710957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2221582,"threshold_uncertainty_score":0.7431934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00927629807668403,"score_gpt":0.2097280909820335,"score_spread":0.2004517929053495,"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."}}