{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001490654,0.0001976482,0.000664156,0.0004485384,0.00005838555,0.00009217284,0.0002361335,0.00007717506,0.001683632],"category_scores_gemma":[0.00002048462,0.0001113312,0.0005316411,0.00009382411,0.00005128768,0.0003675532,0.00002371382,0.0001314479,0.0002496945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004751,"about_ca_system_score_gemma":0.00005291722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002445039,"about_ca_topic_score_gemma":0.0007444277,"domain_scores_codex":[0.9988938,0.0001717391,0.0005752705,0.00006229475,0.00004903193,0.0002478381],"domain_scores_gemma":[0.9992349,0.0001431671,0.0002467266,0.0001805268,0.00004927417,0.0001453869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002193609,0.0001289821,0.3445295,0.0001277296,0.1188684,0.00003956082,0.008148149,0.4136724,0.01252798,0.00147331,0.08671318,0.01355146],"study_design_scores_gemma":[0.003826325,0.0009352,0.537029,0.00009260391,0.01913981,0.0002242771,0.001018234,0.1305221,0.2584119,0.004248383,0.04156222,0.002990031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937491,0.0003541329,0.001086427,0.000125691,0.002241014,0.00003090882,0.00004589937,0.00002921438,0.002337554],"genre_scores_gemma":[0.9976135,0.0003266135,0.0001264167,0.00003787765,0.00149749,0.000001142434,0.000003849727,0.00002652278,0.00036652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2831503,"threshold_uncertainty_score":0.999229,"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."}}