{"id":"W2153851722","doi":"10.37119/ojs2015.v21i1.193","title":"A Framework of Creative Education","year":2015,"lang":"en","type":"article","venue":"in education","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Creativity; Creative education; Boosting (machine learning); Pedagogy; Creative brief; Creative work; Engineering ethics; Psychology; Mathematics education; Sociology; Computer science; Engineering; Social psychology; Political science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002546547,0.00007024343,0.00009822538,0.0002303784,0.0000183603,0.00001209752,0.000140046,0.00006873858,0.00040253],"category_scores_gemma":[0.0007071676,0.00007405622,0.00002065056,0.0005995358,0.00008646389,0.0001213718,0.00001175269,0.0001189228,0.0001453806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166002,"about_ca_system_score_gemma":0.001316236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008824737,"about_ca_topic_score_gemma":0.00002368016,"domain_scores_codex":[0.9992161,0.0001299027,0.0002033253,0.0002008426,0.0001339916,0.0001157826],"domain_scores_gemma":[0.9992043,0.000122581,0.0001248272,0.0002918711,0.0001688586,0.00008754629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009152383,0.009129686,0.2908378,0.00002254164,0.000007914477,3.818087e-7,0.1238605,0.0000151667,0.0008005703,0.2722906,0.07048379,0.2324595],"study_design_scores_gemma":[0.0002799199,0.0001791879,0.7983803,0.0001511613,0.0000123468,0.00001898617,0.09655862,0.0000136523,0.001520223,0.05335523,0.04931253,0.0002178216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8707816,0.0003707231,0.0002396226,0.001135295,0.005365285,0.0002059467,0.00000181895,0.00001778587,0.1218819],"genre_scores_gemma":[0.992109,0.00001020159,0.001598435,0.0004646672,0.0001818267,0.0001439699,0.000008194723,0.000007460496,0.00547626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5075425,"threshold_uncertainty_score":0.4407421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06689465714709909,"score_gpt":0.449688326150785,"score_spread":0.3827936690036859,"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."}}