{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009563863,0.0002670025,0.0003514475,0.001255902,0.002147238,0.005728055,0.000651951,0.001727767,0.237175],"category_scores_gemma":[0.003876484,0.0001988675,0.000367236,0.001259335,0.001648871,0.002637026,0.002836188,0.001362137,0.04691389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002650682,"about_ca_system_score_gemma":0.002911846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358521,"about_ca_topic_score_gemma":0.03017949,"domain_scores_codex":[0.9987513,0.0001773422,0.00008016668,0.0002336748,0.0004376834,0.000319858],"domain_scores_gemma":[0.9962458,0.0005962727,0.0005531355,0.0003029346,0.001075983,0.001225782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000592118,0.0008099392,0.07256784,0.0005331064,0.0001091162,0.001957405,0.002513863,0.00295223,0.008241543,0.1761217,0.3768959,0.3567054],"study_design_scores_gemma":[0.00004668209,0.000164687,0.08902545,0.0003010622,0.00003139451,0.0008726713,0.005260818,0.002588562,0.005427996,0.02433221,0.8718578,0.00009064018],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07902496,0.0008781605,0.002632939,0.02510055,0.001238059,0.00007624269,0.001994389,0.0002388427,0.8888158],"genre_scores_gemma":[0.4409034,0.001373749,0.001419037,0.002130884,0.0004286375,0.00007529264,0.001358113,0.0001843633,0.5521266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.237175,"threshold_uncertainty_score":0.7934294,"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."}}