{"id":"W2992642407","doi":"10.1080/00343404.2019.1695046","title":"Are trade fairs relevant for local innovation knowledge networks? Evidence from Shanghai equipment manufacturing","year":2019,"lang":"en","type":"article","venue":"Regional Studies","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"East China Normal University; China Postdoctoral Science Foundation; University of Toronto; American Association of Geographers","keywords":"Business; Industrial organization; Regional studies; Marketing; Economic geography; Regional science; Economics; Regional development; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004048712,0.0001173208,0.0001969908,0.00007090258,0.0004867325,0.00006045969,0.0001645535,0.00004930952,0.00005441624],"category_scores_gemma":[0.00008623556,0.0001028932,0.00007114913,0.0002076384,0.000167193,0.0002007243,0.0001100878,0.0000700608,0.00003565173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891879,"about_ca_system_score_gemma":0.00004424696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003852368,"about_ca_topic_score_gemma":0.003642664,"domain_scores_codex":[0.998891,0.00005257156,0.0002216707,0.0002903284,0.0002694104,0.0002750231],"domain_scores_gemma":[0.999091,0.0004788334,0.0001664526,0.0001150132,0.000115019,0.00003372763],"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":[0.0003230565,0.0004069208,0.01341088,0.0005088567,0.001286914,0.00001383282,0.05540315,0.009151394,0.0000654722,0.3515796,0.2464775,0.3213724],"study_design_scores_gemma":[0.0008302447,0.0001783163,0.06226748,0.002316179,0.0001191138,4.106871e-7,0.1547668,0.004693348,0.0001133513,0.02969454,0.7443522,0.0006680238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7789837,0.03400326,0.06187758,0.1093658,0.003574892,0.003624404,0.00003389604,0.0003633148,0.008173212],"genre_scores_gemma":[0.9950159,0.002416222,0.0002132166,0.0003142596,0.0004677921,0.0001112697,0.00001165743,0.000007224532,0.001442495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4978747,"threshold_uncertainty_score":0.4195862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1654367657517767,"score_gpt":0.3703352974649818,"score_spread":0.2048985317132051,"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."}}