{"id":"W1529778280","doi":"10.2139/ssrn.1407042","title":"Global Links: Multinationals in Canada: An Overview of Research at Statistics Canada","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Regional science; Political science; Statistics; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002617324,0.0007470281,0.0006569452,0.02492273,0.006058542,0.007687851,0.001817517,0.001345821,0.01024794],"category_scores_gemma":[0.009190519,0.0004194405,0.0006776814,0.09156334,0.00159311,0.003082512,0.002053905,0.001585716,0.001010095],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07608686,"about_ca_system_score_gemma":0.1771358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972863,"about_ca_topic_score_gemma":0.9987549,"domain_scores_codex":[0.9963316,0.0002307099,0.0001712177,0.0002652913,0.002041188,0.0009599319],"domain_scores_gemma":[0.9823694,0.001830855,0.001620403,0.0002450648,0.01192052,0.002013774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008784261,0.0001253395,0.2831968,0.002436693,0.0002290296,0.0004256143,0.006639757,0.002368151,0.0001946062,0.03325185,0.3979289,0.2731154],"study_design_scores_gemma":[0.00001896478,0.00003465328,0.5469579,0.003197555,0.0002606387,0.0001703308,0.01868025,0.001438546,0.0005701164,0.003206456,0.425332,0.0001325528],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2070184,0.3320058,0.003289858,0.07042296,0.002111195,0.0004640727,0.1617958,0.0006638145,0.2222281],"genre_scores_gemma":[0.5337922,0.3069932,0.004868474,0.006522919,0.001034799,0.0002040243,0.04379962,0.0003145969,0.1024702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9239131,"threshold_uncertainty_score":0.5520514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061578797700941,"score_gpt":0.3137063428435098,"score_spread":0.2075484630734157,"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."}}