{"id":"W3094857735","doi":"10.1111/saje.12272","title":"Associations Between Logistics and Economic Growth in Africa","year":2020,"lang":"en","type":"article","venue":"South African Journal of Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"University of Johannesburg","keywords":"Macro; Competence (human resources); Business; Economic indicator; Economics; Development 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007710709,0.0002038192,0.0009465958,0.0003343629,0.0000670174,0.0001024302,0.0003663166,0.0001403894,0.00004781866],"category_scores_gemma":[0.0004367091,0.0002517021,0.0001790533,0.0001268074,0.0001207232,0.0003767228,0.00009036245,0.0003711394,0.0001709907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003149851,"about_ca_system_score_gemma":0.0000853704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004451128,"about_ca_topic_score_gemma":0.00001299027,"domain_scores_codex":[0.9975879,0.00002629988,0.001653453,0.0003206278,0.00001457557,0.0003971026],"domain_scores_gemma":[0.9978307,0.0001822186,0.001478437,0.0001312225,0.00002407732,0.0003533025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004228367,0.00002854174,0.6998974,0.00001763077,0.0001564195,0.000006128347,0.006372971,0.0009078722,5.479052e-7,0.2916284,0.0007857871,0.0001559594],"study_design_scores_gemma":[0.002786953,0.0005069306,0.2163787,0.00001850844,0.00005285704,0.00001236776,0.001423617,0.004975555,0.00002807878,0.7655603,0.007447123,0.0008090095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274998,0.000673331,0.001129177,0.007570839,0.0004041515,0.0001721144,0.001952074,0.00001865785,0.06057987],"genre_scores_gemma":[0.998033,0.00006819568,0.00072604,0.0003793011,0.0007342915,0.000001738074,0.000007547455,0.00003208229,0.00001781516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4835187,"threshold_uncertainty_score":0.9999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07947989755606295,"score_gpt":0.218925470849735,"score_spread":0.1394455732936721,"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."}}