{"id":"W4406756046","doi":"10.1017/s0022109024000942","title":"Regional Clusters and Product Market Outcomes During Turbulent Times","year":2025,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Turbulence; Product (mathematics); Business; Mechanics; Physics; Mathematics; Geometry","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":[0.0003013751,0.0001278175,0.0004091203,0.0006092569,0.0001615475,0.000120709,0.0000954581,0.00002795383,0.00003991174],"category_scores_gemma":[0.0001499416,0.00009617414,0.0001908568,0.0008288558,0.00008175361,0.0005042845,0.00006006437,0.0001024566,0.000001955867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000142313,"about_ca_system_score_gemma":0.00003026019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008906348,"about_ca_topic_score_gemma":0.00007168366,"domain_scores_codex":[0.9991979,0.0000204857,0.0003176845,0.0001606948,0.0001725525,0.00013068],"domain_scores_gemma":[0.9993013,0.00006349776,0.0002918047,0.00006501681,0.0002647725,0.00001359608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003855415,0.0001064321,0.9279307,0.0001991067,0.001135731,0.00006504171,0.00009446162,0.0001088232,0.0001126087,0.06653617,0.002008642,0.001316734],"study_design_scores_gemma":[0.000469171,0.00001676615,0.9854233,0.00008697413,0.000933804,0.000005007404,0.0002487031,0.0003993214,0.00001349729,0.003245887,0.00904727,0.0001103106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990977,0.001367945,0.0004244247,0.00530173,0.00009592155,0.00005416568,0.000001567656,0.000006368982,0.001770894],"genre_scores_gemma":[0.997729,0.0002045088,0.0002974057,0.0009771212,0.0001310408,0.000001466597,0.000001603733,0.000003553386,0.0006542883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06329028,"threshold_uncertainty_score":0.3921868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626925257293126,"score_gpt":0.2517953325880087,"score_spread":0.2355260800150775,"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."}}