{"id":"W2794451478","doi":"10.5430/ijhe.v7n2p169","title":"Chinese Curricula of Medical Science in the Context of Globalization","year":2018,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Globalization; China; Context (archaeology); Political science; Process (computing); Engineering ethics; Quality (philosophy); Power (physics); Medical education; Public relations; Economic growth; Medicine; Engineering; Economics; Law; Computer science; Geography","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":[0.001446143,0.0001222172,0.000121147,0.002646252,0.001581651,0.00141968,0.0003568325,0.0002968818,0.00218351],"category_scores_gemma":[0.007650691,0.00009934845,0.0001516541,0.003268711,0.00105024,0.0007255466,0.001263969,0.0004124266,0.000189324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005243419,"about_ca_system_score_gemma":0.0125643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01479653,"about_ca_topic_score_gemma":0.02067257,"domain_scores_codex":[0.9990388,0.000213463,0.00009111057,0.00007513609,0.0003350878,0.0002463319],"domain_scores_gemma":[0.995643,0.0008497423,0.001022979,0.0001861895,0.0009694641,0.001328557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001222849,0.0002848407,0.6311009,0.0003874376,0.00002656647,0.0007705129,0.06761996,0.001463185,0.003548625,0.06027957,0.008128653,0.2262675],"study_design_scores_gemma":[0.00001511582,0.00007920834,0.9328328,0.0002150906,0.00001341929,0.0001793636,0.01457233,0.001110413,0.0007596561,0.005009448,0.04519312,0.00002017919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711099,0.0009639518,0.0004588941,0.002301949,0.00004568564,0.00007005268,0.0001504029,0.00001939184,0.02487983],"genre_scores_gemma":[0.9960045,0.0005190349,0.0007206783,0.0002066859,0.00002303211,0.00003759295,0.0001324691,0.000006598054,0.002349517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01479653,"threshold_uncertainty_score":0.03804386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290948021369528,"score_gpt":0.4303776407658719,"score_spread":0.4174681605521766,"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."}}