{"id":"W4395458033","doi":"10.3138/9781487549862-014","title":"Chapter Eleven. Canada as an Ally: Always Difficult, Always Divided","year":2024,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; History; Genealogy","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":[0.000510755,0.0008919226,0.0004769305,0.002243296,0.01402156,0.01042345,0.001431588,0.004320971,0.05787752],"category_scores_gemma":[0.001576435,0.0005077454,0.0002370546,0.007263936,0.004492416,0.003097392,0.001527781,0.003952412,0.00657086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06783521,"about_ca_system_score_gemma":0.09938598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9471121,"about_ca_topic_score_gemma":0.989486,"domain_scores_codex":[0.999184,0.00008906166,0.00001489061,0.0000740967,0.0003661826,0.0002718893],"domain_scores_gemma":[0.999411,0.00009681588,0.00002161006,0.00001808404,0.0003036059,0.0001489798],"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":[0.000006186734,0.000009700258,0.0001280108,0.0001105508,0.000001661983,0.00005993208,0.0027373,0.00006735652,0.00004623619,0.2206962,0.7519842,0.02415272],"study_design_scores_gemma":[0.000001511409,0.0000015221,0.0002900878,0.0001350777,0.000002099395,0.00002398148,0.001699511,0.00001947547,0.00002502551,0.00689977,0.9908948,0.000007165787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007654715,0.06091205,0.0004336778,0.03444221,0.002819669,0.00005128351,0.000697365,0.00009136392,0.899787],"genre_scores_gemma":[0.02048584,0.02962685,0.0006256223,0.005929505,0.0004231675,0.00005472782,0.000239571,0.00008892314,0.9425258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06783521,"threshold_uncertainty_score":0.4921812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007155828930341,"score_gpt":0.2193196275778875,"score_spread":0.1992480692885841,"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."}}