{"id":"W1975076910","doi":"10.5539/ibr.v1n2p69","title":"The Role of Trading Cities in the Development of Chinese Business Cluster","year":2009,"lang":"en","type":"article","venue":"International Business Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; China; Context (archaeology); Position (finance); Real estate; Industrial organization; Cluster (spacecraft); Business cluster; Economic geography; Marketing; Commerce; Finance; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001980978,0.0000797039,0.000212203,0.0004497021,0.0001286415,0.00009600901,0.0008518927,0.00003959345,0.00006456966],"category_scores_gemma":[0.0003431568,0.00005304915,0.00006190096,0.0008317223,0.000125506,0.000150243,0.00007282603,0.0001304846,0.00001597161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000801791,"about_ca_system_score_gemma":0.00007041681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006718644,"about_ca_topic_score_gemma":0.0005753084,"domain_scores_codex":[0.9987389,0.00003054558,0.0006911082,0.0001716701,0.0001885886,0.0001791152],"domain_scores_gemma":[0.9988466,0.000316333,0.0002064231,0.0001939831,0.00041983,0.00001684092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002548736,0.0004592646,0.4182533,0.00003896122,0.0001994671,0.000003763266,0.00613584,0.002559569,0.0004114254,0.5445152,0.0002882241,0.02688011],"study_design_scores_gemma":[0.0002162065,0.000008784265,0.8149199,0.0000197937,6.917975e-7,0.000001700386,0.000340717,0.007008296,0.00006496532,0.1636806,0.01366806,0.00007029908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571645,0.0006870613,0.0005623103,0.01223363,0.0001182711,0.0001262533,0.00001682662,0.000002357802,0.02908884],"genre_scores_gemma":[0.9991633,0.0002370755,0.0001870233,0.00005116483,0.00008788382,0.0000185663,0.00001397639,0.000005504523,0.0002354486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3966666,"threshold_uncertainty_score":0.2163281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05723146411123355,"score_gpt":0.3035530453277937,"score_spread":0.2463215812165602,"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."}}