{"id":"W3002218615","doi":"","title":"Is R&D Enough in Improving Firm Productivity?","year":2019,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Industrial organization; Business; Workforce; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00123246,0.0002721446,0.000483515,0.0004476334,0.00006588331,0.0001223613,0.000527906,0.000128292,0.0008602477],"category_scores_gemma":[0.0005086254,0.0003421505,0.0001423646,0.0002926452,0.00007178555,0.001549336,0.0001971094,0.0004314602,0.002627983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003734121,"about_ca_system_score_gemma":0.00004518983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000954768,"about_ca_topic_score_gemma":0.00004107909,"domain_scores_codex":[0.9973638,0.00003540592,0.0006483845,0.001394943,0.0001028919,0.0004545865],"domain_scores_gemma":[0.9985785,0.00006656536,0.0004115789,0.0007798395,0.00008141583,0.0000821005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008357388,0.0004232873,0.9781204,0.00006458926,0.00006742184,0.000003954339,0.0005964435,0.00007737094,0.002121186,0.01307065,0.0005940759,0.004777065],"study_design_scores_gemma":[0.001181317,0.0001242976,0.8774388,0.00003385416,0.000004752378,0.00002221656,0.00006196873,0.001805652,0.01594297,0.03433984,0.06822644,0.0008179059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648647,0.0005691168,0.0001107003,0.01051313,0.006160443,0.0006343,0.000135325,0.00007207385,0.0169402],"genre_scores_gemma":[0.9894887,0.00002085134,0.0004821698,0.0001018906,0.001655482,0.00006261241,0.00001807455,0.00004308352,0.008127169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1006816,"threshold_uncertainty_score":0.999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385316969291126,"score_gpt":0.2295954978683424,"score_spread":0.2057423281754312,"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."}}