{"id":"W4212883173","doi":"10.1093/cjres/rsac002","title":"Localization of global networks: new mandates for MNEs in Toronto’s innovation economy","year":2022,"lang":"en","type":"article","venue":"Cambridge Journal of Regions Economy and Society","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multinational corporation; Economic geography; Business; Host (biology); Industrial organization; Emerging markets; Production (economics); Economic system; Economy; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004702651,0.0001306915,0.0001781389,0.0006107189,0.006501975,0.006775056,0.000822424,0.001749349,0.009166786],"category_scores_gemma":[0.01065048,0.0002207418,0.0001350168,0.0006071056,0.008682226,0.003868674,0.005050681,0.001315333,0.0004547221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03374217,"about_ca_system_score_gemma":0.02370853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.347136,"about_ca_topic_score_gemma":0.5529631,"domain_scores_codex":[0.9974292,0.0007997972,0.0001094847,0.0004305039,0.000345842,0.0008850664],"domain_scores_gemma":[0.9887829,0.003468825,0.001179734,0.000870741,0.002329482,0.003368243],"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":[0.00006781545,0.0000369795,0.02848383,0.00007881019,0.000009108398,0.0007170954,0.03351822,0.001853999,0.001432198,0.8949285,0.01116603,0.02770737],"study_design_scores_gemma":[0.00007607355,0.0001610592,0.1264266,0.0005927737,0.0000569292,0.0004443859,0.1255576,0.007658416,0.003327305,0.1686051,0.5669629,0.000130827],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5586406,0.0007741272,0.01287734,0.05587025,0.0001007677,0.0001571679,0.000194668,0.00008370454,0.3713014],"genre_scores_gemma":[0.991403,0.00007803228,0.0006440445,0.0004201901,0.000009193857,0.00002821432,0.00001584169,0.000005671669,0.007395723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.652864,"threshold_uncertainty_score":0.690231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717886525952794,"score_gpt":0.2568716878117455,"score_spread":0.2396928225522176,"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."}}