{"id":"W2377392139","doi":"","title":"Hugh MacLennan——Spokesman for Canadian National Identity","year":2006,"lang":"en","type":"article","venue":"Journal of Hunan University of Science and Engineering","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nationalism; National identity; World War II; Identity (music); National Unity; Political science; Law; History; Art; Aesthetics","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":[0.003303978,0.0004879836,0.0004884774,0.002811669,0.0417768,0.009844379,0.001518881,0.003173205,0.01263002],"category_scores_gemma":[0.004745747,0.0004343466,0.0002877075,0.002805947,0.009037268,0.003728996,0.002810771,0.008437118,0.001839788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1101929,"about_ca_system_score_gemma":0.1306781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9726216,"about_ca_topic_score_gemma":0.985089,"domain_scores_codex":[0.996568,0.0003187429,0.00008030007,0.0004192905,0.001679013,0.0009346789],"domain_scores_gemma":[0.9930028,0.0003942011,0.0001160881,0.0001551499,0.003594656,0.002736987],"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":[0.000009483476,0.000006726812,0.0004676717,0.00002004656,0.000003025697,0.00007695565,0.003042074,0.0000182604,0.00006918566,0.05587204,0.9246278,0.01578671],"study_design_scores_gemma":[0.000001640552,0.000001745935,0.0006260359,0.00003887933,0.00000168287,0.00003803875,0.001803618,0.00002309335,0.00004024162,0.001331751,0.996083,0.00001028509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004986066,0.03595739,0.00112063,0.7352601,0.03027008,0.00007093525,0.0003475201,0.0002070636,0.1917803],"genre_scores_gemma":[0.1656396,0.02939931,0.004258671,0.1408711,0.00486762,0.00008763232,0.0003834474,0.0004393625,0.6540533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1101929,"threshold_uncertainty_score":0.7995095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006554072209699263,"score_gpt":0.1830738385270007,"score_spread":0.1765197663173015,"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."}}