{"id":"W2495272874","doi":"","title":"Lessons from the Legacy of Canada-China","year":2013,"lang":"en","type":"article","venue":"","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Political science; Context (archaeology); Agency (philosophy); Section (typography); Politics; Higher education; Public administration; Economic growth; Special section; Public relations; Sustainable development; Regional science; Library science; Sociology; Engineering; Social science; Geography; Law; Business; Economics","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":[0.002203633,0.0003960589,0.0004709979,0.001829639,0.02517015,0.00995937,0.001474867,0.002642452,0.008660743],"category_scores_gemma":[0.00349593,0.0002307046,0.0003362883,0.005356034,0.01273851,0.003443331,0.004311569,0.003679764,0.000478246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1363389,"about_ca_system_score_gemma":0.2058346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893541,"about_ca_topic_score_gemma":0.9950007,"domain_scores_codex":[0.9966745,0.000294045,0.00004604601,0.0003490678,0.000757402,0.001878838],"domain_scores_gemma":[0.9973657,0.0002877407,0.0001176572,0.0001091211,0.0008293165,0.001290492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001126273,0.00004520749,0.01794746,0.0002382962,0.00004487468,0.002471767,0.08058336,0.0006957937,0.0003672337,0.704372,0.1244627,0.06865878],"study_design_scores_gemma":[0.00002180371,0.0000212416,0.02032261,0.0003580004,0.00003052729,0.0002977826,0.08254913,0.0002439138,0.0002420609,0.02538208,0.8704566,0.00007417492],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2116731,0.03228028,0.0009673514,0.3246107,0.002085935,0.00006695968,0.000873565,0.00008701879,0.4273552],"genre_scores_gemma":[0.8983136,0.009874483,0.0004815877,0.01901358,0.0002544558,0.0000250268,0.0001746555,0.00004167935,0.07182096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1363389,"threshold_uncertainty_score":0.9892124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538374494384142,"score_gpt":0.2890081416084612,"score_spread":0.2736243966646197,"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."}}