{"id":"W3208834947","doi":"10.5430/ijfr.v12n5p246","title":"How the Crowding-out Effect Hypothesis Stands Under a Financial System Liberalised: The Mexican Economy Case","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México","keywords":"Investment (military); Economics; Liberalization; Crowding out; Financial market; Public capital; Private sector; Public sector; Public investment; Macroeconomics; Finance; Monetary economics; Economy; Market economy; Economic growth; Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003072693,0.000278241,0.0009613415,0.001290118,0.00159169,0.003902817,0.0008115612,0.002250382,0.00866451],"category_scores_gemma":[0.004741119,0.0001985411,0.0009299509,0.001279278,0.00465734,0.002556889,0.002288278,0.00201429,0.0001875999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002485572,"about_ca_system_score_gemma":0.001741019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02991775,"about_ca_topic_score_gemma":0.02206184,"domain_scores_codex":[0.9987797,0.000345048,0.00003863483,0.0001529588,0.0001352236,0.0005484436],"domain_scores_gemma":[0.9963449,0.001874689,0.001098272,0.0002425732,0.0001432833,0.0002962826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004971931,0.0003277074,0.07756516,0.0002448274,0.0001701822,0.003798966,0.003246594,0.0152659,0.0007783506,0.8728083,0.003013946,0.02228281],"study_design_scores_gemma":[0.001021796,0.001272874,0.3042543,0.0007379033,0.001205918,0.001041687,0.03204256,0.05934952,0.002654725,0.5437844,0.05233151,0.0003028589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920898,0.00209214,0.006255945,0.01605004,0.00008244497,0.00009887274,0.0004465308,0.00005481339,0.05402125],"genre_scores_gemma":[0.9970048,0.0004406393,0.0003153946,0.0003377487,0.00007696044,0.00002798109,0.00003803501,0.000006287186,0.001751962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02991775,"threshold_uncertainty_score":0.05948722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056252518354078,"score_gpt":0.3145495625667737,"score_spread":0.2089243107313659,"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."}}