{"id":"W3190470331","doi":"10.23977/aetp.2021.55004","title":"Research on the Evaluation of higher Education Health system based on Principal Component Analysis","year":2021,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Research studies in Vietnam","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Higher education; Government (linguistics); Economic growth; Principal component analysis; Principal (computer security); Primary education; Political science; Business; Medical education; Mathematics education; Psychology; Medicine; Economics; Computer science; Statistics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002577382,0.00008008341,0.0001668442,0.0005213668,0.0002125147,0.000004530847,0.000255323,0.00008975024,0.0009459295],"category_scores_gemma":[0.0002595615,0.00006161299,0.00002745876,0.002639524,0.0008224411,0.0000469461,0.00008717802,0.0003583942,0.00003970627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220907,"about_ca_system_score_gemma":0.0001947594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001941131,"about_ca_topic_score_gemma":0.00009682229,"domain_scores_codex":[0.997632,0.0008720067,0.0002484178,0.0004130617,0.0006019954,0.0002325768],"domain_scores_gemma":[0.9985811,0.0006606966,0.0001030292,0.0005055514,0.0001163074,0.0000332832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009217893,0.001919344,0.2999819,0.00004837951,0.00007960513,0.000001090764,0.0001865949,0.01554487,0.0001526716,0.6121696,0.004536161,0.06528761],"study_design_scores_gemma":[0.0003018129,0.0002114887,0.9221326,0.00005470799,0.00001889557,0.000003754196,0.000912869,0.001368499,0.00008630619,0.05195818,0.02287295,0.00007791542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7001551,0.006270886,0.0001196338,0.1872782,0.0008355457,0.0007275464,0.00001000438,0.00002157048,0.1045815],"genre_scores_gemma":[0.997409,0.0003384975,0.0006410747,0.0009190473,0.00002803077,0.0004135006,0.00001720932,0.000004237483,0.0002293825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6221507,"threshold_uncertainty_score":0.9999673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08498148907991718,"score_gpt":0.5075074822640896,"score_spread":0.4225259931841724,"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."}}