{"id":"W4205790079","doi":"10.46692/9781529209617.008","title":"Outsourcing Central Government Services","year":2021,"lang":"en","type":"other","venue":"","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; Business; Government (linguistics); Central government; Commerce; Marketing; Public administration; Local government; 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":[0.002775341,0.0005600089,0.0003018887,0.001054214,0.002314329,0.007691705,0.002168006,0.001813064,0.1944359],"category_scores_gemma":[0.005605989,0.0003207508,0.0004252554,0.004114442,0.001661274,0.003506445,0.006802092,0.002262644,0.09814057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01013571,"about_ca_system_score_gemma":0.01856398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01771584,"about_ca_topic_score_gemma":0.01352839,"domain_scores_codex":[0.9949722,0.0009934631,0.0002912281,0.0005914157,0.001645795,0.001505913],"domain_scores_gemma":[0.994146,0.0005425027,0.0003203393,0.0009910876,0.002151749,0.001848316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005939679,0.00007534783,0.002359759,0.0005120116,0.000008851071,0.0003074592,0.002571168,0.000804997,0.0006581944,0.2977679,0.4865009,0.208374],"study_design_scores_gemma":[0.000007242832,0.00001184056,0.001102851,0.0001874652,0.000001301729,0.0001499758,0.001135911,0.0002736457,0.0001544358,0.005480518,0.9914874,0.000007354442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007997305,0.001720146,0.004683428,0.01384532,0.0007541562,0.0001981781,0.001189517,0.0009535165,0.9686584],"genre_scores_gemma":[0.1588673,0.003277316,0.005119008,0.005456152,0.0005013689,0.00021073,0.002852983,0.0005518317,0.8231634],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1944359,"threshold_uncertainty_score":0.6504529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027492997268085,"score_gpt":0.2043747420730995,"score_spread":0.1940998121004187,"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."}}