{"id":"W3036774671","doi":"","title":"Firm Networks, Borders and Regional Economic Integration","year":2019,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation, Science and Economic Development Canada; Statistics Canada","funders":"","keywords":"Upstream (networking); Downstream (manufacturing); Production (economics); Business; Unit (ring theory); Industrial organization; Supply chain; Economic integration; Value (mathematics); International trade; Economics; Microeconomics; Computer science; Marketing; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001376458,0.0001233871,0.0002276487,0.00009499826,0.001152462,0.0003671132,0.0001526814,0.0001021773,0.001064993],"category_scores_gemma":[0.0006912141,0.0001014972,0.00005607628,0.0003306901,0.001354109,0.0009325137,0.00009258919,0.0003115766,0.0001909713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025399,"about_ca_system_score_gemma":0.0002038001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150853,"about_ca_topic_score_gemma":0.0460076,"domain_scores_codex":[0.9982061,0.0002892204,0.0002419886,0.0003547042,0.0004572911,0.0004507254],"domain_scores_gemma":[0.9986841,0.0005039176,0.00003073393,0.0001686687,0.0004803899,0.0001321866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000161311,0.00005158795,0.009105716,0.0000247285,0.0001824039,0.000001627891,0.01312032,0.0001521136,0.0001721749,0.8750927,0.06554825,0.03638705],"study_design_scores_gemma":[0.0003677403,0.0002368947,0.0127562,0.0000463781,0.00001092736,0.000001059773,0.03514345,0.002891784,0.00002175507,0.004975979,0.943323,0.0002248551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7121546,0.01566827,0.0003061595,0.1422241,0.001017087,0.00173353,0.00001220373,0.0002294992,0.1266546],"genre_scores_gemma":[0.9692914,0.01600176,0.00004365037,0.0006000447,0.0003466633,0.00004016009,0.0000138243,0.0000107518,0.01365178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8777747,"threshold_uncertainty_score":0.9998482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09614507408970198,"score_gpt":0.4667159424513773,"score_spread":0.3705708683616753,"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."}}