{"id":"W3121467801","doi":"10.1111/j.1530-9134.2012.00330.x","title":"M<scp>arket</scp> E<scp>xpansion and</scp> P<scp>roductivity</scp> G<scp>rowth</scp>: D<scp>o</scp> N<scp>ew</scp> D<scp>omestic</scp> M<scp>arkets</scp> M<scp>atter as</scp> M<scp>uch as</scp> N<scp>ew</scp> I<scp>nternational</scp> M<scp>arkets</scp>?","year":2012,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Set (abstract data type); Business; Industrial organization; Economics; Computer science","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":["metaresearch","metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","metaepi_broad","sts","scholarly_communication","open_science","research_integrity"],"category_scores_codex":[0.02774072,0.0189612,0.02152111,0.01843882,0.007951119,0.01603603,0.02201112,0.01160316,0.0004656496],"category_scores_gemma":[0.06489548,0.022573,0.01211626,0.0114497,0.00586298,0.0244667,0.01097728,0.01877772,0.02077486],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01060901,"about_ca_system_score_gemma":0.004627274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002013578,"about_ca_topic_score_gemma":0.001282342,"domain_scores_codex":[0.9162033,0.004629514,0.02701813,0.01913463,0.006967809,0.02604668],"domain_scores_gemma":[0.8749744,0.06180115,0.03008467,0.0140148,0.004895561,0.0142294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001032695,0.01197774,0.08357894,0.004763856,0.01924582,0.003379735,0.01606751,0.02252494,0.002345119,0.05020363,0.7833864,0.00242305],"study_design_scores_gemma":[0.02108554,0.004435466,0.07131498,0.002310825,0.005597457,0.004045167,0.05456703,0.009607611,0.006439746,0.035564,0.783514,0.001518162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6903557,0.03041883,0.002481228,0.0008761358,0.0207985,0.01031893,0.006718656,0.002559098,0.2354729],"genre_scores_gemma":[0.6174177,0.09845563,0.008427057,0.01242503,0.02429882,0.003515585,0.006263635,0.007726523,0.22147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07293804,"threshold_uncertainty_score":0.9977772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350778781905222,"score_gpt":0.2353677601669974,"score_spread":0.2002898819764752,"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."}}