{"id":"W3123577116","doi":"","title":"Rewarding Innovation: Improving Federal Tax Support for Business R&D in Canada","year":2011,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Productivity; Tax incentive; Business; Public economics; Economics; Industrial organization; Market economy; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0126947,0.0006757707,0.001589067,0.002750425,0.01772428,0.009037614,0.007173954,0.03620889,0.007713945],"category_scores_gemma":[0.06857549,0.0009372373,0.001669261,0.004067268,0.00855789,0.00498554,0.004485145,0.0273443,0.0007694048],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1745756,"about_ca_system_score_gemma":0.4634383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9829059,"about_ca_topic_score_gemma":0.9887967,"domain_scores_codex":[0.9805177,0.001894181,0.0008801699,0.001299207,0.008771734,0.00663702],"domain_scores_gemma":[0.9368681,0.02094891,0.002494256,0.001569264,0.02745732,0.01066222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001337263,0.00004802334,0.002865113,0.0004611272,0.00008054631,0.0004532133,0.001197372,0.0009392812,0.0005338558,0.0928734,0.8772755,0.02313873],"study_design_scores_gemma":[0.0003983573,0.00007987816,0.0143965,0.001414978,0.000231532,0.0001630145,0.001585222,0.001693013,0.001193389,0.01808553,0.9604817,0.0002769958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003443124,0.004818549,0.0002208201,0.9683649,0.005238771,0.0000501547,0.0003313647,0.00006069542,0.01747157],"genre_scores_gemma":[0.07138564,0.006124508,0.001231587,0.8952402,0.003532281,0.00009576828,0.0002348361,0.00006824482,0.02208701],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8254244,"threshold_uncertainty_score":0.9573753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0535071441069993,"score_gpt":0.2750468279274737,"score_spread":0.2215396838204744,"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."}}