{"id":"W4289831647","doi":"10.3390/jrfm15080344","title":"R&D, Industrial Policy and Growth","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Panel data; Social connectedness; Economics; Industrial policy; Vietnamese; Politics; Monetary economics; Macroeconomics; Econometrics; International trade","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":[0.0009550569,0.0001878886,0.0002375132,0.0008975279,0.0003668768,0.001541481,0.0002889773,0.000506805,0.01218124],"category_scores_gemma":[0.005115962,0.00008906029,0.0003026616,0.001600325,0.0006624556,0.0005832646,0.0007575372,0.0008480554,0.0008985923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319446,"about_ca_system_score_gemma":0.00155393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02727404,"about_ca_topic_score_gemma":0.02729121,"domain_scores_codex":[0.9993002,0.0002109555,0.00003442535,0.000103221,0.0001308441,0.0002203228],"domain_scores_gemma":[0.9925374,0.002479263,0.003379177,0.0001890271,0.0002730757,0.001142015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001298726,0.0001579675,0.9538018,0.0000739749,0.0001561106,0.0006346146,0.0003110998,0.01350505,0.000514389,0.01002311,0.002749182,0.01794282],"study_design_scores_gemma":[0.00004036267,0.0001995072,0.9595268,0.00008295501,0.00007552701,0.0002632439,0.001346328,0.01522186,0.0008408328,0.005706991,0.01667907,0.00001660113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699979,0.001248554,0.002237045,0.002552266,0.00004085251,0.00004092473,0.001757718,0.00004435505,0.0220804],"genre_scores_gemma":[0.9943659,0.0002368745,0.0001905521,0.00008415476,0.00002196248,0.00001149709,0.0004446071,0.0000053616,0.004639178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02727404,"threshold_uncertainty_score":0.05423057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03321441523772609,"score_gpt":0.2261495883759041,"score_spread":0.192935173138178,"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."}}