{"id":"W2031403081","doi":"10.1111/j.1467-9361.2007.00381.x","title":"R&D Policies and Endogenous Growth: A Dynamic General Equilibrium Analysis of the Case for Canada*","year":2007,"lang":"en","type":"article","venue":"Review of Development Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Economics; Subsidy; Endogenous growth theory; Productivity; General equilibrium theory; Incentive; Capital (architecture); Monetary economics; International economics; Macroeconomics; Microeconomics; Human capital; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001023092,0.0007177924,0.001342659,0.001528096,0.004012187,0.004516222,0.001850766,0.001688272,0.00780251],"category_scores_gemma":[0.002319905,0.000461651,0.001395695,0.002232903,0.001990091,0.001165711,0.001122811,0.001556293,0.0003673783],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04461326,"about_ca_system_score_gemma":0.02977112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9766956,"about_ca_topic_score_gemma":0.9605165,"domain_scores_codex":[0.9993126,0.0001034074,0.00001185366,0.00008298366,0.0001105879,0.0003785387],"domain_scores_gemma":[0.9992284,0.0002531984,0.00007011279,0.00003100883,0.0003027294,0.0001146233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00018743,0.0001173914,0.008530152,0.0001227535,0.00008307177,0.0009404095,0.0003250762,0.5334375,0.0009205372,0.434824,0.009538583,0.01097311],"study_design_scores_gemma":[0.0003216332,0.00007991368,0.01106665,0.00009818251,0.0002087933,0.0002152326,0.001585237,0.8516721,0.0006159813,0.1081326,0.0258741,0.0001296588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7017216,0.005667613,0.03342836,0.02257738,0.0001792654,0.0002873131,0.003655634,0.0003490324,0.2321338],"genre_scores_gemma":[0.9747669,0.002207887,0.003751247,0.000291553,0.0000199659,0.00003913008,0.0003512457,0.00002520306,0.01854693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9553868,"threshold_uncertainty_score":0.3236934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911721244045056,"score_gpt":0.235127271524941,"score_spread":0.1960100590844905,"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."}}