{"id":"W2890271616","doi":"10.3968/10397","title":"The Core of Constructing World-class Universities in China is to Cultivate First-Class Talents","year":2018,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Class (philosophy); Position (finance); Government (linguistics); Core (optical fiber); Process (computing); Software deployment; Quality (philosophy); Political science; World class; Public relations; Sociology; Business; Economic growth; Mathematics education; Engineering; Computer science; Psychology; Economics; Law; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009132857,0.000447181,0.00069102,0.005712117,0.001830514,0.003668378,0.0008137511,0.0005386051,0.001579527],"category_scores_gemma":[0.01189742,0.0001717875,0.0006484027,0.006716163,0.00164515,0.003874434,0.001311024,0.0004239967,0.0001253533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00461508,"about_ca_system_score_gemma":0.02398798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01436332,"about_ca_topic_score_gemma":0.03282317,"domain_scores_codex":[0.9962338,0.001142331,0.0006147602,0.0004100145,0.00124347,0.0003558007],"domain_scores_gemma":[0.9927609,0.003709865,0.001291787,0.0004349315,0.001475402,0.0003272069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007093319,0.00009116292,0.07357095,0.04501307,0.0004387491,0.0004107979,0.009604151,0.001032988,0.002555992,0.04563146,0.005128045,0.8164518],"study_design_scores_gemma":[0.00008738388,0.0004828008,0.486961,0.04591168,0.001843046,0.00080138,0.04552267,0.001869265,0.007306278,0.02691464,0.3820789,0.0002208289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.3402127,0.5707797,0.01910858,0.01186471,0.00125138,0.001172022,0.001570085,0.0001781421,0.05386261],"genre_scores_gemma":[0.84065,0.1421867,0.01277141,0.001253307,0.000133268,0.0002943032,0.0006558064,0.00001923167,0.002035962],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01436332,"threshold_uncertainty_score":0.04829979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860072644279521,"score_gpt":0.276769725870295,"score_spread":0.2581689994274998,"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."}}