{"id":"W2273899099","doi":"10.4018/978-1-61520-799-2.ch014","title":"International ICT Spillover","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Saskatchewan","funders":"","keywords":"Information and Communications Technology; Spillover effect; Productivity; Context (archaeology); Panel data; Business; Empirical evidence; Economics; Economic growth; Political science; Macroeconomics; Geography; Econometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004053949,0.0008056805,0.0003869278,0.002305595,0.0006448904,0.003614526,0.0004293263,0.000866672,0.05748162],"category_scores_gemma":[0.001084084,0.0002667089,0.0006208405,0.004350292,0.0007876209,0.003232007,0.002595603,0.001361317,0.01051317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173391,"about_ca_system_score_gemma":0.00130949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002318,"about_ca_topic_score_gemma":0.002259725,"domain_scores_codex":[0.9997396,0.0000384797,0.00001115717,0.00005624065,0.00009425258,0.0000601613],"domain_scores_gemma":[0.9996524,0.0001179481,0.00004123031,0.0000613939,0.00007948532,0.00004757909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003608888,0.00007816406,0.002772741,0.0006521551,0.0000324076,0.0006267205,0.001662471,0.002966558,0.0007884314,0.5736095,0.1192237,0.2975511],"study_design_scores_gemma":[0.00000852898,0.00003493075,0.005297802,0.000814195,0.00003381877,0.0009700831,0.001028865,0.0009242048,0.0009699244,0.06775814,0.9221435,0.00001624265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01212018,0.01686678,0.004916032,0.002819153,0.000511331,0.00003848579,0.0007839262,0.0001902669,0.9617538],"genre_scores_gemma":[0.3259735,0.09636363,0.006967499,0.002936314,0.001350242,0.0001695995,0.003386032,0.0002035084,0.5626497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05748162,"threshold_uncertainty_score":0.1922952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494149036795769,"score_gpt":0.2122329597289169,"score_spread":0.1872914693609592,"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."}}