{"id":"W2248233539","doi":"10.1111/joes.12211","title":"DOES ICT GENERATE ECONOMIC GROWTH? A META‐REGRESSION ANALYSIS","year":2018,"lang":"en","type":"article","venue":"Journal of Economic Surveys","topic":"ICT Impact and Policies","field":"Engineering","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Grantová Agentura České Republiky","keywords":"Information and Communications Technology; Economics; Landline; Productivity; Developing country; Meta-regression; Econometrics; The Internet; Macroeconomics; Meta-analysis; Economic growth; Phone; Computer science","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":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.03611353,0.002000261,0.006217021,0.006647838,0.00051798,0.004048856,0.002445461,0.002230637,0.005616685],"category_scores_gemma":[0.1032183,0.0009275096,0.03492668,0.00747402,0.001037247,0.001957498,0.001625432,0.002614653,0.0008215318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534016,"about_ca_system_score_gemma":0.001649067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003440815,"about_ca_topic_score_gemma":0.003134273,"domain_scores_codex":[0.9652218,0.02354581,0.005757586,0.002889364,0.001972816,0.0006128167],"domain_scores_gemma":[0.856916,0.1209181,0.01110103,0.00714262,0.003279797,0.0006425288],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002006381,0.00005568034,0.05684409,0.06422757,0.8593088,0.0002250628,0.0001533035,0.001947535,0.0002602262,0.001049167,0.001440595,0.01248158],"study_design_scores_gemma":[0.0005324199,0.0004792092,0.02356075,0.01227001,0.9533574,0.0001893955,0.0001568825,0.002399929,0.0005227139,0.002149065,0.004344871,0.00003746983],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06003602,0.9153667,0.01287174,0.003280756,0.0009878488,0.0007016053,0.004210505,0.0002197771,0.002324947],"genre_scores_gemma":[0.8569489,0.1307509,0.005542946,0.001865627,0.0005643098,0.001332678,0.001905001,0.000152188,0.0009374096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.993783,"threshold_uncertainty_score":0.1909889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628539613312227,"score_gpt":0.2666331733057103,"score_spread":0.2403477771725881,"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."}}