{"id":"W3125813900","doi":"","title":"Rising R&D Intensity and Economic Growth","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Economics; R&D intensity; Endogenous growth theory; Per capita; Competition (biology); Real gross domestic product; Government (linguistics); Monetary economics; Macroeconomics; Market economy; Human capital","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":[0.0006503641,0.0002859857,0.0003244479,0.001147898,0.0004496856,0.002325075,0.0003509622,0.001055642,0.004511913],"category_scores_gemma":[0.003730701,0.000171318,0.0004404656,0.002254337,0.001170456,0.001791035,0.001241703,0.0009678478,0.001108381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388466,"about_ca_system_score_gemma":0.0005549105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00303222,"about_ca_topic_score_gemma":0.00174064,"domain_scores_codex":[0.9995658,0.00007711017,0.0000281394,0.0001083345,0.0001030738,0.000117598],"domain_scores_gemma":[0.9974286,0.0007058461,0.00115787,0.0001532024,0.000268505,0.0002859459],"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":[0.0002808248,0.0003011055,0.2749538,0.0004888523,0.0001896403,0.0009385659,0.001670845,0.03383578,0.004297793,0.5133088,0.01223129,0.1575027],"study_design_scores_gemma":[0.00008385593,0.0002563626,0.383459,0.0002894849,0.000122287,0.001141656,0.001900375,0.02977567,0.003370027,0.4699816,0.1095072,0.0001123679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8043047,0.01099589,0.01573917,0.01077627,0.0001154909,0.00004974893,0.001354644,0.0002417482,0.1564224],"genre_scores_gemma":[0.9893784,0.004053412,0.00103905,0.0002790482,0.0001168285,0.00001479489,0.0003102814,0.00001781874,0.004790276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004511913,"threshold_uncertainty_score":0.01509386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0425636739480233,"score_gpt":0.2758257795277034,"score_spread":0.2332621055796801,"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."}}