{"id":"W2163548980","doi":"10.1287/mnsc.1060.0670","title":"<b>Research Note</b>—Determinants of Country-Level Investment in Information Technology","year":2007,"lang":"en","type":"article","venue":"Management Science","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Division of Information and Intelligent Systems","keywords":"Investment (military); Openness to experience; Productivity; Developing country; Open-ended investment company; Return on investment; Business; Economics; Government (linguistics); International economics; Monetary economics; Economic growth; Macroeconomics","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":[],"consensus_categories":[],"category_scores_codex":[0.0069712,0.0000698433,0.0001689736,0.002196631,0.0001050138,0.00004189579,0.0005358666,0.00004778413,0.0000313923],"category_scores_gemma":[0.0001465699,0.00008209172,0.00001526644,0.002089872,0.0004851351,0.0008561341,0.0002795581,0.0001245346,0.0002595685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359934,"about_ca_system_score_gemma":0.00002288935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002893679,"about_ca_topic_score_gemma":0.0001451285,"domain_scores_codex":[0.998623,0.000005477374,0.0005385324,0.0002882118,0.00009469614,0.0004501552],"domain_scores_gemma":[0.9993212,0.00002485067,0.0001946963,0.0003712441,0.0000393986,0.00004859643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000009106183,0.00005719907,0.3412168,0.00005551163,0.0000021211,0.000002530203,0.0002944525,0.00003279319,0.0000348034,0.6383817,0.00007293872,0.01984009],"study_design_scores_gemma":[0.0004649777,0.00007203306,0.8568222,0.00002332279,9.208285e-7,0.000001350273,0.0004978313,0.001729208,0.002958664,0.1126621,0.0245974,0.0001700041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8435479,0.0000778235,0.003501073,0.0002463835,0.0002974927,0.0003348786,0.00001824313,0.00001516587,0.151961],"genre_scores_gemma":[0.9973812,0.00003294352,0.002236343,0.0001129665,0.00001116733,0.00001333283,0.00000140447,0.000003026671,0.0002076604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5257195,"threshold_uncertainty_score":0.3347603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05934430749569475,"score_gpt":0.2964201184458126,"score_spread":0.2370758109501179,"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."}}