{"id":"W2793392204","doi":"10.5539/hes.v8n1p65","title":"Organizational Mechanisms and Practice of Innovative Talents Cultivation in Local Colleges-A Case Study of Hubei University","year":2018,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Tutorial system; Personalization; Function (biology); TUTOR; Organizational structure; Engineering management; Management system; Higher education; Sociology; Knowledge management; Mathematics education; Engineering; Business; Political science; Pedagogy; Psychology; Computer science; Marketing; Operations management","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":[0.001897259,0.0001656716,0.0002196834,0.001376137,0.006011831,0.00330395,0.000949085,0.000974735,0.002604729],"category_scores_gemma":[0.001919411,0.0002127429,0.0001834698,0.001825655,0.003215238,0.001364272,0.001907942,0.0006185209,0.0001638548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008476133,"about_ca_system_score_gemma":0.006285531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03865268,"about_ca_topic_score_gemma":0.07606375,"domain_scores_codex":[0.9989195,0.0004851203,0.0000310169,0.00009391283,0.00008712686,0.0003834219],"domain_scores_gemma":[0.9979585,0.0007434367,0.0002382071,0.0001220907,0.0001920195,0.0007457158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002470086,0.001987946,0.3130325,0.0003749609,0.00005040444,0.01805183,0.4985838,0.003461337,0.00518992,0.07813815,0.002346912,0.07853512],"study_design_scores_gemma":[0.0000425709,0.0002610637,0.2004101,0.0001564924,0.00005174061,0.001081758,0.7683435,0.006609526,0.001705858,0.004316645,0.0169583,0.00006244681],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952706,0.0001043611,0.0006156676,0.0003102685,0.000002254601,0.000035242,0.000007609632,0.000009341148,0.003644824],"genre_scores_gemma":[0.999141,0.00005685255,0.0001794561,0.0000145014,0.000001059794,0.000007469027,0.000003538942,0.000001084915,0.000595078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03865268,"threshold_uncertainty_score":0.07685542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06410161553489443,"score_gpt":0.3933946370252467,"score_spread":0.3292930214903523,"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."}}