{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008035722,0.00002498782,0.00006508315,0.0007729777,0.0008525511,0.00008032031,0.0002133146,0.00002442121,0.00002577179],"category_scores_gemma":[0.00009830637,0.00003558759,0.00003520951,0.0003229558,0.0006539714,0.0008694326,0.000009193683,0.00004638079,7.073612e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007254505,"about_ca_system_score_gemma":0.001880462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5966548,"about_ca_topic_score_gemma":0.9055454,"domain_scores_codex":[0.9993852,0.000003842988,0.00007184364,0.00005140942,0.0003435427,0.0001441661],"domain_scores_gemma":[0.9993498,0.00001767565,0.00006329118,0.00002204385,0.0003879933,0.000159163],"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":[0.00004929883,0.00008404058,0.00594094,0.0001424027,0.00005331846,0.0001083715,0.02362918,0.004990931,0.01419164,0.8915019,0.05180686,0.007501125],"study_design_scores_gemma":[0.0003127001,0.00004417866,0.04792277,0.00004262582,0.00001930512,0.000009260988,0.004159155,0.0004122009,0.00003576651,0.001487161,0.9454355,0.0001193961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781806,0.0002485619,0.001178476,0.001586335,0.0005606191,0.00008007748,0.00001998626,0.000007693414,0.01813761],"genre_scores_gemma":[0.9981498,0.00006000382,0.000939993,0.00001491262,0.00009113687,1.618742e-8,1.859908e-7,0.000001418779,0.000742533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8936286,"threshold_uncertainty_score":0.655722,"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."}}