{"id":"W7100702968","doi":"","title":"Are firms that receive RD subsidies more innovative, Canadian","year":2009,"lang":"en","type":"article","venue":"","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Product (mathematics); Matching (statistics); Tax credit; Tax policy","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0007836407,0.0001806524,0.0003580867,0.001491276,0.001238589,0.002285738,0.0005537537,0.0007164464,0.007313692],"category_scores_gemma":[0.007012466,0.0001482869,0.0004430765,0.002210622,0.0010044,0.000779055,0.0006641533,0.000653151,0.0003848273],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01043238,"about_ca_system_score_gemma":0.01313596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8205001,"about_ca_topic_score_gemma":0.8951926,"domain_scores_codex":[0.9985398,0.00004837896,0.00003327756,0.0001900375,0.0005671432,0.0006213887],"domain_scores_gemma":[0.9954317,0.0005723368,0.001784123,0.0001639243,0.001056786,0.0009910861],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003404216,0.0003248338,0.8144479,0.0003507578,0.0003183183,0.0004871364,0.002020895,0.003464074,0.006170712,0.02227558,0.0280236,0.1217757],"study_design_scores_gemma":[0.00005869126,0.00004889665,0.9699866,0.0000498103,0.0001129229,0.0001349097,0.002444254,0.0006231859,0.0009911573,0.001062457,0.02445106,0.00003610182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488143,0.001505388,0.000306238,0.003883514,0.00006157176,0.0000428416,0.002190944,0.00005998992,0.04313528],"genre_scores_gemma":[0.9902874,0.0007459676,0.0001536467,0.0007410061,0.00003536515,0.00000646835,0.0009743533,0.000007012065,0.007048741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9992164,"threshold_uncertainty_score":0.3611139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06872013619966784,"score_gpt":0.2508468673769752,"score_spread":0.1821267311773074,"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."}}