{"id":"W1542300088","doi":"10.1108/00070701011058262","title":"Productivity and business R&D","year":2010,"lang":"en","type":"article","venue":"British Food Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Productivity; Business; Agricultural economics; Capital (architecture); Industrial organization; Economics; Economic growth; Geography","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":[0.001325137,0.000420728,0.0002311912,0.003488027,0.0008659278,0.003316964,0.0004881595,0.0003260809,0.007813767],"category_scores_gemma":[0.006963532,0.0001403711,0.0005001051,0.004887309,0.001216829,0.0006866899,0.0008209136,0.0008030278,0.002521409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008586321,"about_ca_system_score_gemma":0.007148141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3788179,"about_ca_topic_score_gemma":0.3545096,"domain_scores_codex":[0.9983627,0.0001437042,0.00006653745,0.0001788652,0.0008642246,0.0003839112],"domain_scores_gemma":[0.9912311,0.002009419,0.002457939,0.0005138372,0.002726413,0.001061217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002005387,0.0001292332,0.8400569,0.0003759628,0.0004011426,0.0003387919,0.000561604,0.008129904,0.001916866,0.0132996,0.008259913,0.1263294],"study_design_scores_gemma":[0.00001375271,0.00004886974,0.9318761,0.0001604816,0.000113359,0.0002377963,0.0008138383,0.003271543,0.002763631,0.004674753,0.05599672,0.00002917605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8127691,0.01585075,0.007322854,0.005875779,0.0001793542,0.00008625797,0.01243469,0.0004509919,0.1450302],"genre_scores_gemma":[0.9806936,0.002873946,0.0009532927,0.0001831701,0.00006459082,0.000008872759,0.002406803,0.00002749509,0.01278834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3788179,"threshold_uncertainty_score":0.753226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682186298941386,"score_gpt":0.2023247985515974,"score_spread":0.1755029355621835,"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."}}