{"id":"W7116941042","doi":"10.25318/36280001202501200002-eng","title":"The role of firm size in the Canada–U.S. labour productivity gap since 2000","year":2025,"lang":"fr","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Multifactor productivity; Divergence (linguistics); Business sector; Manufacturing sector","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279208,0.0001320319,0.0003012642,0.002358352,0.002226348,0.002469053,0.0008044791,0.0005657907,0.003650079],"category_scores_gemma":[0.006272259,0.0001186226,0.0002979508,0.004746977,0.001515356,0.0008800573,0.001489085,0.001223206,0.000312522],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01560857,"about_ca_system_score_gemma":0.02940999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9467209,"about_ca_topic_score_gemma":0.9717561,"domain_scores_codex":[0.9986063,0.00006518785,0.00004487201,0.0001306336,0.0004372423,0.0007158109],"domain_scores_gemma":[0.9915974,0.001424218,0.002039606,0.0001639711,0.002130158,0.002644838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002496544,0.0001072171,0.9098637,0.0001424088,0.00008392021,0.0006495377,0.004030586,0.001279831,0.0003755752,0.01372569,0.02130593,0.04818595],"study_design_scores_gemma":[0.000007921149,0.00001877032,0.9878251,0.0001156539,0.00002552359,0.00004704591,0.003073889,0.0003582648,0.0001267494,0.0004455676,0.007942212,0.00001343155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439453,0.00871656,0.0001736187,0.01597872,0.0001325157,0.00002094105,0.002784492,0.00002761483,0.02822022],"genre_scores_gemma":[0.9956226,0.001202231,0.00005076836,0.0003942061,0.00003718025,0.000003532859,0.0008150438,0.000006811666,0.001867637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9843915,"threshold_uncertainty_score":0.1132486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116901177401483,"score_gpt":0.4328138740066731,"score_spread":0.3159126966051901,"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."}}