{"id":"W4245840514","doi":"10.47678/cjhe.v47i3.188135","title":"Book review of \"State and Market in Higher Education Reforms\" and \"Reengineering the University: How to be Mission Centered, Market Smart, and Margin Conscious\"","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business process reengineering; Margin (machine learning); State (computer science); Public administration; Political science; Management; Business; Marketing; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064751,0.0005726476,0.0007584011,0.002144251,0.0009785468,0.003215313,0.0009503383,0.002635643,0.02008368],"category_scores_gemma":[0.003171882,0.0003303838,0.0004392796,0.004394637,0.001739655,0.003451565,0.0008745269,0.003312221,0.006895934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00504089,"about_ca_system_score_gemma":0.006053088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02682382,"about_ca_topic_score_gemma":0.08021626,"domain_scores_codex":[0.9991678,0.0001562465,0.00003701365,0.00008131499,0.0004987036,0.00005895679],"domain_scores_gemma":[0.9977775,0.000996476,0.0001210961,0.00004682272,0.0009161692,0.000141888],"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":[0.000004581016,0.000006934632,0.00002233722,0.0002994539,0.000003873384,0.00001030104,0.00004324138,0.00008799772,0.00003047191,0.01224689,0.9568348,0.03040913],"study_design_scores_gemma":[0.000003506274,0.000005025816,0.0001824512,0.0003899241,0.000002866826,0.00001891241,0.00003909023,0.00003490907,0.00001921268,0.002337951,0.9969618,0.000004441168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0003399657,0.6902741,0.001199072,0.1569787,0.05394319,0.00003999551,0.0003839091,0.00008166432,0.09675935],"genre_scores_gemma":[0.007328758,0.6219523,0.001216184,0.07806526,0.04086296,0.00007345299,0.0004952187,0.0001402872,0.2498655],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02682382,"threshold_uncertainty_score":0.06718653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792643654222706,"score_gpt":0.270349049037195,"score_spread":0.252422612494968,"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."}}