{"id":"W235090992","doi":"10.1596/23659","title":"Tax Incentives for Research and Development","year":2013,"lang":"en","type":"book","venue":"World Bank, Washington, DC eBooks","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Tax incentive; Promotion (chess); Public economics; Business; Tax credit; Economics; Political science; Microeconomics","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":[0.002424253,0.000722751,0.0004077157,0.002199353,0.002144745,0.005811975,0.0005686193,0.003425537,0.02026981],"category_scores_gemma":[0.007342062,0.0003513799,0.0004205263,0.002936041,0.003209291,0.005539411,0.002443218,0.003889221,0.006039381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004231115,"about_ca_system_score_gemma":0.005494864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004631305,"about_ca_topic_score_gemma":0.005439167,"domain_scores_codex":[0.9979321,0.0005944821,0.00009036118,0.0001962038,0.0009527623,0.0002340338],"domain_scores_gemma":[0.9979593,0.0008464893,0.0002149095,0.0002812665,0.0005559729,0.0001421915],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007379377,0.00001391847,0.000081869,0.00007021699,0.000003341929,0.00001427808,0.00007556503,0.0003802772,0.00004134297,0.8800402,0.07727971,0.0419919],"study_design_scores_gemma":[0.00000668576,0.00001246807,0.0002383506,0.0002962656,0.000003611264,0.00006586813,0.00004362213,0.0002258684,0.00008808458,0.1731388,0.8258708,0.000009651037],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001293074,0.05347773,0.008266575,0.02082816,0.002506866,0.0001247348,0.0002899048,0.0001747637,0.9130382],"genre_scores_gemma":[0.1048757,0.1366254,0.01442129,0.01284346,0.005303483,0.0004284859,0.0006711407,0.0002519674,0.7245792],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9975758,"threshold_uncertainty_score":0.06780928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1401058284061943,"score_gpt":0.3068348172072284,"score_spread":0.1667289888010341,"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."}}