{"id":"W3150247190","doi":"10.1162/rest_a_01199","title":"The Heterogeneous Impact of Market Size on Innovation: Evidence from French Firm-Level Exports","year":2022,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Agence Nationale de la Recherche; Canadian Institute for Advanced Research","keywords":"Demand shock; Competition (biology); Productivity; Shock (circulatory); Economic rent; Destinations; Industrial organization; Economics; Business; Monetary economics; Microeconomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002414682,0.0002210323,0.0004687635,0.001858619,0.0004200215,0.001851102,0.000431461,0.0007624843,0.005050438],"category_scores_gemma":[0.008770312,0.0001208987,0.0006899557,0.002012402,0.0009277234,0.000824261,0.000728913,0.0005587981,0.000548662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032559,"about_ca_system_score_gemma":0.000393203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02645909,"about_ca_topic_score_gemma":0.01649275,"domain_scores_codex":[0.9989529,0.0003696071,0.00005323593,0.0002448264,0.0001948538,0.0001846257],"domain_scores_gemma":[0.9637486,0.02340236,0.008845191,0.001319417,0.001812984,0.0008714733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003848887,0.0002159611,0.9748679,0.0001294109,0.0003901941,0.0005406893,0.0007986855,0.002370094,0.001063067,0.001808548,0.001305947,0.01612462],"study_design_scores_gemma":[0.0000206246,0.000136342,0.9957463,0.00002534409,0.0000905614,0.000101701,0.0005285821,0.0009236971,0.0003147514,0.0006292757,0.001467409,0.00001542064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946569,0.001493124,0.0001947839,0.0004405066,0.000006030652,0.000003531496,0.0004427107,0.00001004571,0.002752414],"genre_scores_gemma":[0.9989094,0.0003529515,0.00003960523,0.00005371819,0.00002619834,0.000001898395,0.0002962375,0.000003337963,0.0003167961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02645909,"threshold_uncertainty_score":0.05261016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055584093987907,"score_gpt":0.2702277786459665,"score_spread":0.1646693692471758,"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."}}