{"id":"W4384914024","doi":"10.23977/aetp.2023.070709","title":"Research on Design Education in the Greater Bay Area of Guangdong, Hong Kong, and Macau under the Background of Cultural Industry","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Cultural industry; Context (archaeology); Bay; Engineering; Political science; Geography; Economic growth; Business; Sociology; Civil engineering; Economy; Economics; Archaeology","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":[0.00105727,0.0001605614,0.0001927309,0.0008461988,0.001672651,0.0012126,0.0003470168,0.0002040889,0.003912708],"category_scores_gemma":[0.002005249,0.0001644299,0.0001388138,0.001664634,0.002174017,0.001092015,0.001092184,0.0005440961,0.000107525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006247591,"about_ca_system_score_gemma":0.007063264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1414829,"about_ca_topic_score_gemma":0.3281109,"domain_scores_codex":[0.9995412,0.0001746444,0.00002217264,0.0000845571,0.00007645853,0.0001009698],"domain_scores_gemma":[0.9980282,0.000827225,0.0003808652,0.0001366575,0.000221919,0.0004052017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001996725,0.00035772,0.6037954,0.0005031915,0.00007479749,0.0008690582,0.2449897,0.0008083694,0.004004308,0.03309413,0.0014607,0.1098428],"study_design_scores_gemma":[0.00002488231,0.000202248,0.8649354,0.0002301379,0.0000299885,0.0001682408,0.1082978,0.0005244104,0.0007386646,0.001539431,0.02329354,0.00001529721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991282,0.0004191579,0.0002110183,0.0003134105,0.000004661033,0.00001072092,0.00001356333,0.000002587251,0.007742979],"genre_scores_gemma":[0.997885,0.0002689889,0.0002110623,0.00004745975,0.000001693845,0.000009084714,0.00001150092,8.568236e-7,0.001564312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1414829,"threshold_uncertainty_score":0.2813187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1871595585755987,"score_gpt":0.5188638560777782,"score_spread":0.3317042975021794,"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."}}