{"id":"W1481121214","doi":"10.11575/sppp.v5i0.42393","title":"The Big and the Small of Tax Support for R&D in Canada","year":2012,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Political science; Economics; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003881115,0.0000748554,0.0002343789,0.0001572389,0.0001365406,0.00002607947,0.0002458624,0.0000533144,0.00001424401],"category_scores_gemma":[0.0005637723,0.00005670566,0.00003791003,0.0001566612,0.0002420333,0.00006085322,0.00008215919,0.0002162359,0.000002226639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000344042,"about_ca_system_score_gemma":0.0003310445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.164344,"about_ca_topic_score_gemma":0.4851843,"domain_scores_codex":[0.998685,0.00003883263,0.000595724,0.0001616005,0.00002610488,0.0004927635],"domain_scores_gemma":[0.998565,0.0009005439,0.0001716279,0.0002842021,0.00003026368,0.00004838998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001486426,0.00003529886,0.1871726,0.00003742661,0.000033566,4.67076e-7,0.000558921,0.00008576458,0.000005290675,0.7597542,0.0004818379,0.0516859],"study_design_scores_gemma":[0.003122892,0.00005866632,0.1813107,0.00001643871,0.000001915114,0.000005738329,0.001843708,0.003709339,0.000199999,0.01907351,0.7903919,0.0002651861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8515294,0.0006242841,0.000008372588,0.003937081,0.0004894704,0.0007078616,0.0001736518,0.000002865183,0.142527],"genre_scores_gemma":[0.9943178,0.002012895,0.00006260658,0.0002732408,0.0001032601,0.000111429,0.000004532395,0.00001295958,0.003101306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.78991,"threshold_uncertainty_score":0.8412207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05844479189858912,"score_gpt":0.2748109749344887,"score_spread":0.2163661830358996,"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."}}