{"id":"W7115255393","doi":"","title":"Is a higher rate of R&amp;D tax credit a panacea for low levels of R&amp;D in disadvantaged regions?","year":2009,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Panacea (medicine); Tax credit; Disadvantaged; Earned income tax credit; Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00111496,0.00008886203,0.0003907413,0.001152841,0.0009227993,0.002239521,0.000619549,0.000940041,0.01431539],"category_scores_gemma":[0.006558354,0.0001269479,0.0003649255,0.002102408,0.0008077571,0.0008649881,0.0008507051,0.0007703688,0.001273727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008689583,"about_ca_system_score_gemma":0.002402989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04643948,"about_ca_topic_score_gemma":0.05887353,"domain_scores_codex":[0.9990954,0.0001712893,0.00006311637,0.00008384038,0.0001077023,0.0004786446],"domain_scores_gemma":[0.9887621,0.001467392,0.006133119,0.0003917322,0.0008244674,0.002421237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002272823,0.00007642939,0.9708373,0.00014566,0.00009401415,0.0002331433,0.0006540726,0.0001968434,0.0008102366,0.004178644,0.003525997,0.01902034],"study_design_scores_gemma":[0.0000244034,0.00006222203,0.9894857,0.00006812143,0.00004417983,0.0002344064,0.001882014,0.0001411386,0.0003134973,0.001201996,0.006531175,0.00001107761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580313,0.0009218099,0.0006641517,0.01736191,0.00008981307,0.00003331836,0.003169306,0.00004420591,0.0196843],"genre_scores_gemma":[0.9966267,0.0002257576,0.0002276995,0.0008616578,0.00004379433,0.000009484819,0.0003655904,0.000008662272,0.001630504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04643948,"threshold_uncertainty_score":0.09233832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009666608964673,"score_gpt":0.3237685249918353,"score_spread":0.2228018640953681,"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."}}