{"id":"W586919791","doi":"","title":"Effective Management of a Public-Private Partnership for Infrastructure","year":2007,"lang":"en","type":"article","venue":"Transportation Research Board 86th Annual MeetingTransportation Research Board","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Public–private partnership; Toll; Business; Government (linguistics); Private sector; Toll road; Audit; Public sector; Finance; Project management; Public administration; Public relations; Accounting; Management; Economics; Economic growth; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0227142,0.0006153482,0.0007698509,0.003850041,0.001072037,0.0005006408,0.001521795,0.0004903161,0.0002669142],"category_scores_gemma":[0.00102324,0.0006225242,0.0004187057,0.006508021,0.001108728,0.002811392,0.0000710316,0.001590969,0.000134245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003065414,"about_ca_system_score_gemma":0.000274723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854965,"about_ca_topic_score_gemma":0.004647437,"domain_scores_codex":[0.9880589,0.0003829271,0.001786828,0.001490315,0.005073985,0.003207028],"domain_scores_gemma":[0.9886928,0.001790579,0.000600046,0.0008937769,0.007687759,0.0003350654],"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":[0.004935608,0.0008293229,0.3000124,0.008191759,0.0006542622,0.0002627508,0.003641629,0.0004772583,0.004215799,0.6365026,0.01775053,0.02252606],"study_design_scores_gemma":[0.004017385,0.0002798873,0.7962555,0.0004635568,0.0001099439,3.229103e-7,0.01112957,0.0002868114,0.00314331,0.01724671,0.1663105,0.000756537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601057,0.0001483947,0.007638745,0.002160006,0.0002773689,0.006890884,0.0001401633,0.0004227091,0.02221609],"genre_scores_gemma":[0.9919379,0.00006570955,0.003885087,0.0002365541,0.0007853292,0.001380252,0.0008994465,0.0001732157,0.0006365459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6192559,"threshold_uncertainty_score":0.9996226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08124982459029384,"score_gpt":0.3862901797395626,"score_spread":0.3050403551492687,"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."}}