{"id":"W2141311253","doi":"","title":"Global Value Chains and the Productivity of Canadian Manufacturing Firms","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Global value chain; Internationalization; Matching (statistics); Business; Industrial organization; Propensity score matching; Value (mathematics); Manufacturing sector; International trade; International economics; Economics; Comparative advantage; Economic growth","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":[0.001055216,0.0003761546,0.0002472022,0.002923703,0.001689534,0.002670187,0.0004413874,0.0003538037,0.004136831],"category_scores_gemma":[0.006328287,0.0001414128,0.0003442357,0.006013486,0.001061287,0.0007037692,0.001095277,0.0006513297,0.0003832761],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03004619,"about_ca_system_score_gemma":0.01753739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.964829,"about_ca_topic_score_gemma":0.9623084,"domain_scores_codex":[0.9991049,0.00006169928,0.00001996179,0.00009931398,0.0003415457,0.0003724205],"domain_scores_gemma":[0.994436,0.0006760558,0.001290742,0.0002635685,0.00224116,0.001092433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000185766,0.0001176896,0.918568,0.00006871945,0.000117785,0.000214377,0.002430841,0.007920842,0.0006742476,0.01028174,0.006490746,0.05292925],"study_design_scores_gemma":[0.00002194013,0.00005431182,0.9721194,0.00005576153,0.00006658087,0.0000525315,0.004223581,0.007009973,0.000624722,0.002516834,0.01320886,0.00004544168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695354,0.001125698,0.0005587484,0.001156443,0.00002746817,0.00002382737,0.002080879,0.00003206271,0.02545945],"genre_scores_gemma":[0.996816,0.0004026576,0.0001197587,0.00002290283,0.00000789866,0.000002212534,0.0006278309,0.000003150736,0.001997786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9699538,"threshold_uncertainty_score":0.2180014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05312539268204556,"score_gpt":0.2570558039830265,"score_spread":0.2039304113009809,"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."}}