{"id":"W2784542541","doi":"10.5430/ijhe.v7n1p87","title":"Recent Personnel Reforms of Public Universities in China and in Italy: A Comparison","year":2018,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences; Università degli Studi di Padova","keywords":"Excellence; China; Autonomy; Higher education; Corporate governance; Politics; Government (linguistics); Economic growth; Public administration; Central government; Political science; Business; Economics; Local government; Finance; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004879005,0.00004970891,0.0001091268,0.0003646108,0.000042289,0.00004071539,0.0002099125,0.00004007827,0.0004101485],"category_scores_gemma":[0.00004855615,0.00004589063,0.00002054506,0.0002534369,0.0001274151,0.0005257446,0.0000187048,0.00008977673,0.000003969926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007566477,"about_ca_system_score_gemma":0.00137703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093897,"about_ca_topic_score_gemma":0.001224037,"domain_scores_codex":[0.9990329,0.00007015725,0.0003254697,0.00007208451,0.0004013615,0.00009803085],"domain_scores_gemma":[0.9989814,0.00003154237,0.0003336347,0.00003965445,0.000559153,0.00005466963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001239409,0.0009155548,0.6822069,0.000008139756,0.00005226647,0.000004141404,0.2089235,0.000006422437,0.0001146556,0.0450146,0.005532111,0.05709782],"study_design_scores_gemma":[0.0002920529,0.0000321373,0.802142,0.00008455592,0.000002443622,0.000003497713,0.02960372,0.000002524368,0.00006799184,0.001411668,0.1663049,0.00005254605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667694,0.0005887105,0.000008986861,0.0159568,0.002105198,0.00004435681,0.000001101309,0.000002294467,0.01452314],"genre_scores_gemma":[0.9963543,0.0006050735,0.0004542948,0.0001625919,0.0004210483,0.000001518733,0.000002388884,0.000003016595,0.001995791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1793198,"threshold_uncertainty_score":0.4490838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539939696299228,"score_gpt":0.3560816224400992,"score_spread":0.330682225477107,"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."}}