{"id":"W2993642455","doi":"","title":"Approaches to Train Students’ Creative Thinking in College Art Education","year":2016,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Creative thinking; Mathematics education; Psychology; Creative brief; Creative education; Expression (computer science); Higher education; Visual arts education; Pedagogy; Creativity; Engineering ethics; Engineering; Computer science; Visual arts; Political science; Art; The arts; Social psychology","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":[0.0008978888,0.0001111671,0.000146247,0.0004167222,0.0002704623,0.00004793699,0.0006839474,0.0000545792,0.001449571],"category_scores_gemma":[0.000132865,0.00009212067,0.0000341405,0.001893033,0.0006288558,0.0003494156,0.00006315918,0.00007139263,0.000191746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003356744,"about_ca_system_score_gemma":0.00123038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008105904,"about_ca_topic_score_gemma":0.000007290451,"domain_scores_codex":[0.9982601,0.000134065,0.0002697442,0.0004733107,0.0005758366,0.000286887],"domain_scores_gemma":[0.9992296,0.0001161157,0.0001592282,0.0002275591,0.0001346499,0.0001329095],"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":[0.00002128574,0.002095822,0.03287486,0.000005092991,0.000002568103,1.148037e-7,0.03436589,1.946487e-7,0.007831387,0.8975931,0.01311675,0.01209293],"study_design_scores_gemma":[0.0001627629,0.00004812296,0.9511172,0.00004037798,0.000003679875,0.000001181666,0.008857458,1.152765e-7,0.001008949,0.003322567,0.03531316,0.0001243935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6350828,0.0000175175,0.00005701735,0.007486823,0.002829989,0.0004190839,0.000009270633,0.00002348536,0.354074],"genre_scores_gemma":[0.9035721,0.000001529263,0.0002871306,0.0008915519,0.000185747,0.0001991575,0.000001311571,0.00000724688,0.09485427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9182423,"threshold_uncertainty_score":0.9994633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124691170517178,"score_gpt":0.4112085900443125,"score_spread":0.2987394729925946,"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."}}