{"id":"W1542300088","doi":"10.1108/00070701011058262","title":"Productivity and business R&amp;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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004368205,0.0000592087,0.0001437409,0.0001045724,0.0001627211,0.0003283952,0.00008807034,0.00005803337,0.0004360498],"category_scores_gemma":[0.0002811279,0.00008286732,0.0000274251,0.000239003,0.00005360907,0.0003193519,0.00002707522,0.0003417277,0.00007265354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009342589,"about_ca_system_score_gemma":0.00001694508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005759869,"about_ca_topic_score_gemma":0.0004247451,"domain_scores_codex":[0.9993706,0.000004456324,0.0002767294,0.0001697137,0.00002738025,0.0001511547],"domain_scores_gemma":[0.9995602,0.000007308874,0.0001650665,0.0001033963,0.00009577723,0.00006829784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001918321,0.0003275152,0.5080847,0.00006222486,0.00009849215,0.00003948066,0.0002435308,0.000002253382,0.0009843052,0.3428928,0.03454235,0.1127032],"study_design_scores_gemma":[0.000411983,0.00002561365,0.6670679,0.000009376733,0.000001330167,0.002130669,0.000004655594,0.000006540546,0.00002934718,0.06661884,0.2635528,0.0001409615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837115,0.0008344597,0.0009863005,0.001715194,0.001125827,0.00005062241,0.00003589168,0.0000179241,0.01152221],"genre_scores_gemma":[0.9966499,0.00009232658,0.00179142,0.0001665505,0.0005550035,0.000002293534,0.000002908719,0.00001214581,0.0007274995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2762739,"threshold_uncertainty_score":0.477444,"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."}}