{"id":"W2014042223","doi":"10.1080/01446190701670381","title":"An analysis of infrastructure development based on national competitiveness perspectives","year":2008,"lang":"en","type":"article","venue":"Construction Management and Economics","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Performance indicator; Selection (genetic algorithm); Linear discriminant analysis; Business; Set (abstract data type); Representation (politics); Regional science; Industrial organization; Environmental economics; Computer science; Economics; Marketing; Geography; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007082425,0.0002491237,0.00022538,0.00398009,0.0003906562,0.001971774,0.0001792187,0.0001541521,0.004106278],"category_scores_gemma":[0.001672515,0.00009187572,0.0004738362,0.003787384,0.0004843962,0.0009044278,0.0009009831,0.0003426512,0.0001685876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002097612,"about_ca_system_score_gemma":0.00124642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168951,"about_ca_topic_score_gemma":0.01684953,"domain_scores_codex":[0.9995543,0.0001132023,0.00001303108,0.00004968589,0.0001647278,0.0001051073],"domain_scores_gemma":[0.9993463,0.0001915537,0.0001066957,0.00002568414,0.0002586326,0.00007107976],"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":[0.0002684481,0.0001479942,0.3655201,0.0002765847,0.0002897368,0.0006987583,0.001096893,0.06562599,0.006629853,0.4240792,0.003999364,0.1313671],"study_design_scores_gemma":[0.0000299579,0.0002575986,0.8051831,0.0000864788,0.0002182804,0.0003158854,0.004299142,0.1130611,0.003885776,0.04001055,0.03259075,0.00006141196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8443563,0.0005355731,0.01121651,0.000519736,0.00001733854,0.00004795102,0.001037494,0.00003875149,0.1422303],"genre_scores_gemma":[0.9945733,0.0003261042,0.002785051,0.00001433967,0.000009154484,0.00002036733,0.0004376979,0.0000109166,0.001823102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01168951,"threshold_uncertainty_score":0.02324295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280144593013777,"score_gpt":0.1987990598545089,"score_spread":0.1859976139243711,"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."}}