{"id":"W3123504465","doi":"10.2139/ssrn.2326584","title":"Patterns of Specialization and (Un)Conditional Convergence: The Cases of Brazil, China and India","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"China; Convergence (economics); Conditional convergence; Geography; Econometrics; Economic geography; Economics; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007484462,0.00006888258,0.0002032974,0.001281682,0.0007428996,0.0009249825,0.0005424049,0.0003300413,0.003079401],"category_scores_gemma":[0.004457814,0.0000867444,0.0002319138,0.002621884,0.001307648,0.0006005673,0.001277721,0.0003537482,0.00012617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186093,"about_ca_system_score_gemma":0.0008344364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1157276,"about_ca_topic_score_gemma":0.1823545,"domain_scores_codex":[0.9997749,0.00005229592,0.00001534468,0.00002798043,0.00002670156,0.0001028193],"domain_scores_gemma":[0.9971566,0.001141069,0.0007487694,0.0002260112,0.0004192036,0.0003082268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002577085,0.00005443566,0.9129936,0.00007378853,0.00008813528,0.001814869,0.01180581,0.003188738,0.0009861006,0.04974549,0.001227008,0.01776434],"study_design_scores_gemma":[0.00001632029,0.00003023152,0.9701619,0.0000381383,0.00005687427,0.0006647135,0.01442294,0.005289074,0.0004400458,0.006616865,0.002243455,0.00001941843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963055,0.00009085661,0.00008044738,0.0001396851,4.684928e-7,0.000002376092,0.00007546874,0.000003751932,0.003301384],"genre_scores_gemma":[0.9997059,0.00003609662,0.00003077559,0.000003723578,4.48854e-7,8.466165e-7,0.00003631677,0.00000116185,0.0001846805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1157276,"threshold_uncertainty_score":0.230108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008088633980086345,"score_gpt":0.1939384720152439,"score_spread":0.1858498380351575,"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."}}