{"id":"W7095601058","doi":"","title":"Acknowledgement: I wish to thank John Baldwin, Director of the Economic Analysis Division in Statistics Canada for granting me the access to Canadian plant level data. I benefited greatly from","year":2010,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Competition (biology); Upstream (networking); Foreign direct investment; Economic analysis; Downstream (manufacturing); Economic impact analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005498768,0.0006451427,0.001383794,0.00700297,0.002089086,0.002464008,0.00209461,0.0006326694,0.09069289],"category_scores_gemma":[0.04069309,0.0003267269,0.0006598592,0.01705426,0.0008556838,0.00168392,0.002005095,0.002234545,0.02000476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02299441,"about_ca_system_score_gemma":0.04604056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.949245,"about_ca_topic_score_gemma":0.9563679,"domain_scores_codex":[0.9955015,0.0004595957,0.0002613952,0.000346204,0.002783369,0.00064795],"domain_scores_gemma":[0.9159143,0.009967844,0.003374261,0.001881747,0.06388716,0.004974738],"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":[0.00003488233,0.000003718688,0.00363282,0.00007301506,0.000009336182,0.00005806056,0.000320208,0.0001606534,0.00004269342,0.001388734,0.9868827,0.007393077],"study_design_scores_gemma":[0.00003922794,0.000009640819,0.02335635,0.0002217414,0.00002273624,0.0001178608,0.002131111,0.001281587,0.0001979093,0.001365986,0.9711845,0.00007127903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01276794,0.00738089,0.006377475,0.3209303,0.009499148,0.0007855538,0.5851709,0.002341337,0.05474641],"genre_scores_gemma":[0.2221944,0.0162582,0.03012009,0.03252894,0.004295958,0.001745707,0.2691053,0.002287388,0.4214641],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.949245,"threshold_uncertainty_score":0.3033979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06138726979515824,"score_gpt":0.3234900076683146,"score_spread":0.2621027378731564,"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."}}