{"id":"W7099465566","doi":"","title":"1 China Goes Global: The Implications of Chinese Outward Direct Investment for Canada","year":2015,"lang":"en","type":"article","venue":"","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Foreign direct investment; Investment (military); International investment; Promotion (chess); State (computer science)","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":[0.0008336699,0.0002365881,0.0001908359,0.001830044,0.007047643,0.0038947,0.0004846945,0.0007211661,0.006729746],"category_scores_gemma":[0.002502484,0.0001018707,0.0002439926,0.005351296,0.002198541,0.001440761,0.001895547,0.001270997,0.0001517209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03255581,"about_ca_system_score_gemma":0.08750106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9767017,"about_ca_topic_score_gemma":0.9886118,"domain_scores_codex":[0.9990114,0.00006549438,0.00002467242,0.00005621041,0.0002452794,0.0005969406],"domain_scores_gemma":[0.9974127,0.0002781639,0.0004168115,0.00007108228,0.0009759159,0.000845235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001694954,0.0000706562,0.5228348,0.0004694916,0.00006356368,0.002333116,0.04620096,0.001450664,0.0008077325,0.2757311,0.07105639,0.07881201],"study_design_scores_gemma":[0.00003303882,0.00006015638,0.6251292,0.0009125436,0.000120889,0.0002856861,0.1271569,0.001467032,0.0008774838,0.01131496,0.2325078,0.0001343685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7693287,0.004678119,0.0002000112,0.04629176,0.0001558371,0.00004879453,0.001735445,0.00001990308,0.1775415],"genre_scores_gemma":[0.979526,0.004482807,0.0001699621,0.002476305,0.00003310325,0.00001204819,0.0003324573,0.000008301462,0.01295894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03255581,"threshold_uncertainty_score":0.23621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05072842183619131,"score_gpt":0.408429894303566,"score_spread":0.3577014724673747,"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."}}