{"id":"W3121208281","doi":"10.2139/ssrn.651341","title":"Evaluating the Impact of R&D Tax Credits on Innovation: A Microeconometric Study on Canadian Firms","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada; Université de Sherbrooke","funders":"","keywords":"Tax credit; Business; Economics; Accounting; Public economics","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":[0.001725336,0.0003581115,0.0004568118,0.005513474,0.002307625,0.003696916,0.0008065258,0.000978153,0.00213391],"category_scores_gemma":[0.009812323,0.0001849903,0.0006893103,0.01425507,0.001179575,0.00113448,0.0009627788,0.0008265057,0.0002151403],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03990989,"about_ca_system_score_gemma":0.03162851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9837878,"about_ca_topic_score_gemma":0.9904051,"domain_scores_codex":[0.9987754,0.0001438371,0.00005866213,0.0001061606,0.0004642301,0.0004515928],"domain_scores_gemma":[0.9874987,0.004137417,0.00298432,0.0002762299,0.003422149,0.001681264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003435159,0.0002601291,0.9664387,0.00007728271,0.0001425419,0.0002178258,0.001492382,0.005774363,0.000384659,0.003899687,0.002597566,0.01837137],"study_design_scores_gemma":[0.00001494807,0.00005308089,0.9909737,0.00001906678,0.00007076172,0.0000245162,0.002018594,0.002971979,0.000204849,0.0002620886,0.003357739,0.00002877622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938686,0.0008834841,0.0000620744,0.0005230638,0.000003795862,0.00001928673,0.001696573,0.000005896492,0.002937213],"genre_scores_gemma":[0.9970735,0.0006990423,0.00008185854,0.00004479203,0.000008689561,0.000005168219,0.001112313,0.000002551646,0.0009720511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9600901,"threshold_uncertainty_score":0.2895678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09520842851828262,"score_gpt":0.3511705908742566,"score_spread":0.255962162355974,"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."}}