{"id":"W2777999314","doi":"","title":"Chapter 8. Canada and China after the Global Financial Crisis","year":2017,"lang":"en","type":"book-chapter","venue":"OpenEdition (OpenEdition)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial crisis; China; Financial system; Business; Political science; Economics; Keynesian economics; Law","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":[0.0002670567,0.0007350414,0.0002940838,0.001226918,0.01378002,0.00642661,0.0007304501,0.00196785,0.03646509],"category_scores_gemma":[0.0005318038,0.0001939482,0.0002962134,0.003740755,0.002969297,0.001972151,0.001373915,0.003038234,0.00500834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05617848,"about_ca_system_score_gemma":0.08528943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9130391,"about_ca_topic_score_gemma":0.9793136,"domain_scores_codex":[0.9996093,0.00002229796,0.000004211205,0.00003467522,0.0001960669,0.0001336151],"domain_scores_gemma":[0.9997738,0.00001509055,0.000006267899,0.000008994221,0.0001235519,0.00007223611],"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":[0.000007030286,0.00001234432,0.0002400282,0.00006995953,0.000002106913,0.00008725964,0.002321217,0.00009465091,0.00007608903,0.2391905,0.7324946,0.02540415],"study_design_scores_gemma":[0.000001147989,0.000001492783,0.0003712183,0.00007638064,0.000001442743,0.00001662339,0.0006997794,0.0000217922,0.00003082865,0.003616172,0.9951585,0.000004521751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002160945,0.03849257,0.0002117996,0.02753633,0.00406646,0.00003759067,0.0004626623,0.00006922711,0.9269623],"genre_scores_gemma":[0.02003496,0.01544149,0.0002581858,0.00553842,0.0004120886,0.00002447047,0.0002001346,0.0000554081,0.9580349],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08696091,"threshold_uncertainty_score":0.4076053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129934439327021,"score_gpt":0.2376600647226427,"score_spread":0.2263607203293725,"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."}}