{"id":"W2909210008","doi":"10.7202/1055447ar","title":"Physical Internet, Africa’s Transport Infrastructure and Capacity Building","year":2019,"lang":"en","type":"article","venue":"Journal of Comparative International Management","topic":"ICT Impact and Policies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Transport infrastructure; Capacity building; Business; The Internet; Regional science; Economic growth; Transport engineering; Engineering; Economics; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007713767,0.0003446261,0.0001319209,0.002231447,0.001368868,0.002818261,0.0003452563,0.0004508514,0.007832576],"category_scores_gemma":[0.003368586,0.0001305549,0.0001653867,0.003389617,0.004243327,0.00452179,0.002172079,0.0008771093,0.0001871207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002907254,"about_ca_system_score_gemma":0.002216532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007112857,"about_ca_topic_score_gemma":0.008777491,"domain_scores_codex":[0.999483,0.0002126913,0.0000170932,0.00003541418,0.00005187494,0.0002000317],"domain_scores_gemma":[0.9980392,0.001057212,0.0004380547,0.00007352581,0.0001879133,0.0002041852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000244199,0.00004121949,0.0142167,0.0002132142,0.00002383582,0.0004129583,0.002165292,0.008837811,0.0003207572,0.9378371,0.002268316,0.03363832],"study_design_scores_gemma":[0.00002427724,0.0001521909,0.07819451,0.002061317,0.00007160879,0.001203058,0.04146802,0.01233318,0.001709053,0.6363202,0.2264007,0.00006178511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5068484,0.01261606,0.01515602,0.01841044,0.0001515138,0.00007726472,0.0004116506,0.00004412545,0.4462845],"genre_scores_gemma":[0.9950038,0.002465682,0.0006997844,0.0001098883,0.00002568101,0.00001425426,0.00002638132,0.000004455398,0.001650062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007832576,"threshold_uncertainty_score":0.02620262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572473169701137,"score_gpt":0.260784119118434,"score_spread":0.2450593874214227,"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."}}