{"id":"W2744930197","doi":"10.1111/auar.12194","title":"Value for Money and Risk Relationships in Public–Private Partnerships: Evaluating Program‐based Evidence","year":2017,"lang":"en","type":"article","venue":"Australian Accounting Review","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Business; Legitimacy; Public sector; Flexibility (engineering); Politics; Public economics; Value for money; Private sector; Realisation; Accounting; Software deployment; Valuation (finance); Political risk; Process (computing); Stakeholder engagement; Public relations; Economics; Political science; Economic growth","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2324852,0.0008828338,0.002777412,0.008552409,0.001294674,0.006860856,0.003440119,0.003123856,0.007839605],"category_scores_gemma":[0.4022865,0.0008215173,0.003674081,0.00958998,0.005273304,0.005308473,0.005146059,0.003448491,0.0004087713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0171104,"about_ca_system_score_gemma":0.02664505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01805317,"about_ca_topic_score_gemma":0.03254225,"domain_scores_codex":[0.7450699,0.2084395,0.0148123,0.002649828,0.02641291,0.002615584],"domain_scores_gemma":[0.3007761,0.5743827,0.07055563,0.009137606,0.04162816,0.003519842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01062035,0.003000628,0.05302515,0.2353417,0.02508155,0.0003596177,0.006218773,0.003605122,0.0002627749,0.04383707,0.004884067,0.6137631],"study_design_scores_gemma":[0.008013247,0.02464398,0.1163445,0.659309,0.06435912,0.0005276576,0.02011005,0.008266507,0.001898632,0.03007558,0.06605963,0.0003920888],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2454005,0.6681964,0.008077422,0.02793914,0.001555065,0.01563229,0.001565617,0.00007551493,0.03155804],"genre_scores_gemma":[0.8659196,0.1200369,0.007482975,0.001970647,0.0003572833,0.003428171,0.0002790447,0.00001392618,0.0005114631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2324852,"threshold_uncertainty_score":0.9464824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.40719794101065,"score_gpt":0.4228548621103695,"score_spread":0.0156569210997195,"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."}}