{"id":"W2590275934","doi":"10.47678/cjhe.v46i3.188047","title":"Book Review of \"Reengineering the University: How to be Mission Centered, Market Smart, and Margin Conscious\"","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Impulse Buying and Technology Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Margin (machine learning); Business process reengineering; Higher education; Government (linguistics); Economics; Management; Public relations; Marketing; Business; Political science; Computer science; Economic growth","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":[0.0007190244,0.0009061811,0.0009503469,0.002072012,0.001308014,0.004671743,0.001151249,0.001910639,0.06475853],"category_scores_gemma":[0.003845602,0.0004324987,0.000594459,0.003406955,0.001089356,0.004708348,0.001469071,0.003665777,0.03991403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480013,"about_ca_system_score_gemma":0.003703101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008153903,"about_ca_topic_score_gemma":0.01700903,"domain_scores_codex":[0.9990678,0.0001014605,0.00004378461,0.0001250402,0.0006020267,0.00005976513],"domain_scores_gemma":[0.99769,0.000750714,0.0001454765,0.00006320262,0.001069636,0.0002810172],"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":[0.000003074477,0.000005743304,0.00001737019,0.0001697763,0.000001683057,0.00001300286,0.00005432169,0.00003100806,0.00004265052,0.001970893,0.9678573,0.02983313],"study_design_scores_gemma":[0.000001615184,0.000006345379,0.0001153285,0.000283096,0.00000189903,0.00005934949,0.00003920275,0.0000185016,0.00002000536,0.0006320233,0.9988183,0.000004251213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0007240089,0.4902553,0.003713502,0.1307752,0.07608269,0.0001592467,0.0009775324,0.0006549915,0.2966575],"genre_scores_gemma":[0.003782961,0.258195,0.002070335,0.03514852,0.02726004,0.0001239615,0.0008742101,0.0005240371,0.6720209],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06475853,"threshold_uncertainty_score":0.2166389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200346285901041,"score_gpt":0.2069444805680709,"score_spread":0.1869098519779668,"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."}}