{"id":"W1512626786","doi":"","title":"The Contribution of ICT-Producing and ICT-Using Industries to Productivity Growth: A Comparison of Canada, Europe and the United States","year":2003,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Productivity; Business; Agricultural economics; Economics; Economic growth; Political science","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":[0.0007921997,0.0003547067,0.0003753749,0.00691161,0.002175422,0.003481075,0.0004633772,0.0004390443,0.001765097],"category_scores_gemma":[0.003256286,0.0001854192,0.0006553949,0.01326579,0.000925357,0.0006816933,0.001820829,0.0007355325,0.0001677383],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02199711,"about_ca_system_score_gemma":0.02966516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804077,"about_ca_topic_score_gemma":0.9898595,"domain_scores_codex":[0.9982142,0.0001002894,0.00005826569,0.0001143446,0.0006342403,0.0008786408],"domain_scores_gemma":[0.9972972,0.0002219215,0.0002970589,0.00004743455,0.001558556,0.0005777478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007952714,0.00008350718,0.7766488,0.0004536111,0.0007913759,0.001172954,0.00457215,0.004623542,0.001250492,0.02595882,0.02368958,0.15996],"study_design_scores_gemma":[0.00002811569,0.00002514761,0.961315,0.0002730363,0.0002223259,0.0001649173,0.005169068,0.001143048,0.0004947446,0.001008734,0.03010941,0.00004638142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8883166,0.02243157,0.0005332853,0.008105472,0.0001815843,0.00003879594,0.00441218,0.0000564972,0.07592411],"genre_scores_gemma":[0.9861574,0.008059462,0.0002604251,0.0003763675,0.00003439121,0.000007728418,0.001772818,0.00001523962,0.003316154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9780029,"threshold_uncertainty_score":0.159601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04266219347441683,"score_gpt":0.2676204767560238,"score_spread":0.224958283281607,"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."}}