{"id":"W4413160141","doi":"10.1515/zfw-2025-0044","title":"Connecting market and innovation dynamics: trade fairs as temporary markets and clusters","year":2025,"lang":"en","type":"article","venue":"ZFW – Advances in Economic Geography","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Marketing buzz; Production (economics); Industrial organization; Context (archaeology); Dynamics (music); Business; Database transaction; Product (mathematics); Convergence (economics); Work (physics); Marketing; Economics; Microeconomics; Computer science; Advertising; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0006904671,0.0001075626,0.0001563837,0.000745556,0.0003005414,0.0001384976,0.0001139882,0.00005668188,0.00009594503],"category_scores_gemma":[0.00004244031,0.0001253208,0.00002971499,0.0005095828,0.0002055981,0.0005934544,0.00008091397,0.00009100304,0.000001257302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008108461,"about_ca_system_score_gemma":0.00004605384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008740261,"about_ca_topic_score_gemma":0.01361947,"domain_scores_codex":[0.9990602,0.00008301572,0.0002817386,0.0003097524,0.00005224557,0.0002130734],"domain_scores_gemma":[0.9995736,0.0001692286,0.0001083974,0.0001030712,0.00001131204,0.00003440131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004478894,0.00002302118,0.3375843,0.0000690261,0.00003064979,0.000002431823,0.0008981547,0.00008745096,4.760124e-7,0.1724337,0.0003213788,0.4885046],"study_design_scores_gemma":[0.001433441,0.00006827613,0.1698415,0.0002765407,0.00003318057,0.000002344944,0.08005304,0.01143326,0.000003027559,0.105318,0.6309864,0.000551038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6318456,0.001501033,0.0003231948,0.004852393,0.0004474867,0.0003350743,0.00001267322,0.00004668505,0.3606358],"genre_scores_gemma":[0.9950078,0.003975753,0.0003451599,0.0002615201,0.00002895905,0.00002582536,0.00001184874,0.000004821603,0.0003383472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.630665,"threshold_uncertainty_score":0.7599985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005983218694586781,"score_gpt":0.2693007239429744,"score_spread":0.2633175052483877,"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."}}