{"id":"W3124734044","doi":"","title":"Analysis of Government Procurement Market in Emerging Countries and Implication for Small and Medium Enterprises","year":2020,"lang":"en","type":"article","venue":"World economy brief","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emerging markets; Business; Openness to experience; Protectionism; Procurement; Government (linguistics); International trade; Government procurement; Competition (biology); Domestic market; Latin Americans; Order (exchange); International economics; Economics; Finance; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001796116,0.00006664496,0.0002068568,0.0001341197,0.00003272973,0.00003592976,0.0001994105,0.00002030722,0.00001951083],"category_scores_gemma":[0.0000174502,0.0000690112,0.00003367552,0.0003833087,0.00004036715,0.0001732174,0.0001640926,0.00003276344,2.611741e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002671422,"about_ca_system_score_gemma":0.00001164378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003207071,"about_ca_topic_score_gemma":0.0007036508,"domain_scores_codex":[0.9993418,0.000009795775,0.0002194173,0.0002859818,0.00004389825,0.00009912878],"domain_scores_gemma":[0.9995898,0.00006426748,0.0001141734,0.0001801853,0.00001421237,0.00003737324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004860233,0.00004245804,0.965745,0.0001102177,0.0006846608,0.000001226986,0.0009043959,0.00007112523,0.0001163676,0.01652279,0.002035521,0.01371769],"study_design_scores_gemma":[0.001175029,0.000131563,0.5614454,0.00003167685,0.0007483294,0.000001361737,0.0002872567,0.1395363,0.006098874,0.002044494,0.2881013,0.0003984472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2595898,0.001586165,0.6662846,0.06899056,0.00004698912,0.0009323515,0.0002091032,0.000128277,0.002232151],"genre_scores_gemma":[0.9924402,0.00007262704,0.006732895,0.0006472141,0.000007503551,0.00005038697,0.000007778273,0.000002280927,0.00003910534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7328504,"threshold_uncertainty_score":0.2814195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00987720285456988,"score_gpt":0.2181745651273275,"score_spread":0.2082973622727576,"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."}}