{"id":"W4389078246","doi":"10.1371/journal.pone.0294467","title":"Market integration and economic growth","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Economic geography; Leverage (statistics); Economies of agglomeration; Urban agglomeration; Economic integration; Protectionism; Business; Cluster (spacecraft); Market integration; Business cluster; International trade; Economics; Economic growth; Mechanism (biology)","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":[0.001085863,0.0004263499,0.00044177,0.002096016,0.001055346,0.003415985,0.0003537678,0.0005492613,0.007375213],"category_scores_gemma":[0.004482323,0.0001375667,0.0003654407,0.003084228,0.002363092,0.0034707,0.004027343,0.001062244,0.00059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846344,"about_ca_system_score_gemma":0.0009905122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005461574,"about_ca_topic_score_gemma":0.005112184,"domain_scores_codex":[0.9992749,0.0001949547,0.00003274314,0.0001120365,0.0001588342,0.0002265892],"domain_scores_gemma":[0.9968235,0.0007940418,0.0009973326,0.0001539194,0.000422015,0.0008091926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003132464,0.00080766,0.6499726,0.0001810745,0.0003072524,0.001366569,0.005405706,0.01933136,0.001481702,0.2220839,0.003293286,0.09545577],"study_design_scores_gemma":[0.00007580002,0.0002594531,0.8129815,0.0001986482,0.00010866,0.0003986204,0.01611596,0.01892888,0.001120222,0.1166316,0.03312069,0.00005992302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111693,0.001136869,0.003041466,0.001595408,0.0000241204,0.0000439007,0.0002225892,0.00003009845,0.08273626],"genre_scores_gemma":[0.9982252,0.0002147537,0.0002261266,0.00002826368,0.00001420302,0.00001194552,0.00007665402,0.000003280513,0.001199689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007375213,"threshold_uncertainty_score":0.02467251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05064798302740516,"score_gpt":0.1910100285527158,"score_spread":0.1403620455253106,"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."}}