{"id":"W4408563870","doi":"10.1007/s40953-025-00447-9","title":"Investigating the Contribution of R&D and ICT Investments in Total Factor Productivity Growth: Evidence from Quebec’s Manufacturing SMEs","year":2025,"lang":"en","type":"article","venue":"Journal of Quantitative Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Agriculture and Agri-Food Canada","funders":"","keywords":"Productivity; Information and Communications Technology; Total factor productivity; Business; Industrial organization; Economics; Economic growth; Computer science","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":[0.000702724,0.0002468902,0.0002149433,0.001500171,0.00124527,0.00171131,0.0007761776,0.0005851519,0.003885678],"category_scores_gemma":[0.003496356,0.0001461283,0.0003710682,0.003838368,0.0006671243,0.0006888447,0.0007490295,0.0006414907,0.000298015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01429141,"about_ca_system_score_gemma":0.0111668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902063,"about_ca_topic_score_gemma":0.9946726,"domain_scores_codex":[0.9995568,0.00006661099,0.00002191208,0.00005932238,0.0001189825,0.0001762206],"domain_scores_gemma":[0.9936072,0.001878007,0.001318341,0.0001831108,0.002260977,0.0007524533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002557951,0.00008776856,0.9781623,0.00008279907,0.0001716327,0.0004441784,0.001563272,0.001355925,0.0006826117,0.001117993,0.002683543,0.01339204],"study_design_scores_gemma":[0.0000118791,0.00002244259,0.9947864,0.000047443,0.00006287413,0.00002926951,0.001983335,0.0009353841,0.0001836464,0.00005052247,0.001876523,0.00001023961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914106,0.0009091669,0.00008581202,0.000731009,0.000004759287,0.000009878687,0.001699908,0.000007602911,0.005141386],"genre_scores_gemma":[0.996848,0.0003453117,0.00004820046,0.00007840752,0.000004268013,0.000004599923,0.0006095402,0.000002308522,0.002059307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01429141,"threshold_uncertainty_score":0.1036919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08112509268603979,"score_gpt":0.2899581771780338,"score_spread":0.208833084491994,"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."}}