{"id":"W2000588666","doi":"10.1080/10967494.2012.725323","title":"How Does Corporatization Improve the Performance of Government Agencies? Lessons From the Restructuring of State-Owned Forest Agencies in Australia","year":2012,"lang":"en","type":"article","venue":"International Public Management Journal","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Corporatization; CLARITY; Business; Government (linguistics); Corporate governance; Profitability index; Restructuring; Revenue; Autonomy; State (computer science); Productivity; Public relations; Industrial organization; Accounting; Economics; Finance; Political science; Market economy; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007719943,0.0001291258,0.0001060099,0.00006208585,0.0001221036,0.0001888463,0.0008777663,0.00002471388,0.001179673],"category_scores_gemma":[0.00005767475,0.00006922464,0.00006436786,0.0002172501,0.0001976303,0.001025146,0.0004528132,0.0001616253,0.00001765381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003539102,"about_ca_system_score_gemma":0.000008221094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004270157,"about_ca_topic_score_gemma":0.0005698564,"domain_scores_codex":[0.9981661,0.00007040094,0.0003785761,0.0001273064,0.0009868284,0.0002708076],"domain_scores_gemma":[0.9990807,0.00006160274,0.0005494354,0.0002341156,0.0000223052,0.00005179434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003966996,0.0000680206,0.9634387,0.00002030639,0.000157012,0.000002932133,0.001450421,0.00330795,0.0007696105,0.01862292,0.005794974,0.006327442],"study_design_scores_gemma":[0.0004259619,0.00003512867,0.9678259,0.00003624645,0.00002882044,0.000002761853,0.001241369,0.005088405,0.0009801988,0.003735367,0.02046954,0.000130247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863368,0.00001528662,0.000259463,0.005120885,0.0007243963,0.0002481637,0.00003522675,0.000005116874,0.007254709],"genre_scores_gemma":[0.990158,0.0001587439,0.0003428333,0.0001080046,0.0001593244,0.00001480128,0.00001143298,0.000008041754,0.009038776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01488755,"threshold_uncertainty_score":0.9997334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02652735263967435,"score_gpt":0.2497067405553305,"score_spread":0.2231793879156562,"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."}}