{"id":"W4416542216","doi":"10.5539/ies.v18n6p80","title":"Fostering Innovator Skills through Integration of Creative Learning and Generative AI","year":2025,"lang":"","type":"article","venue":"International Education Studies","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Innovator; Generative model; Creativity; Group (periodic table); Generative grammar; Statistical analysis; Creative thinking; Descriptive statistics","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":[0.00269634,0.0003453245,0.0002767916,0.00129713,0.0004523277,0.00187355,0.0005621845,0.0004291743,0.001853684],"category_scores_gemma":[0.00450075,0.0001731692,0.0004654774,0.0005022589,0.0008056693,0.001399454,0.002465565,0.00066076,0.0003255364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719425,"about_ca_system_score_gemma":0.00103223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001490845,"about_ca_topic_score_gemma":0.0003302569,"domain_scores_codex":[0.9983583,0.0007858186,0.00007594528,0.0001586217,0.0004537779,0.0001675153],"domain_scores_gemma":[0.9971084,0.001867742,0.0003363038,0.0002755084,0.0001568414,0.0002552867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002657076,0.006900699,0.05382553,0.0009614739,0.0001098931,0.0006258906,0.02873062,0.002056816,0.05650922,0.02372172,0.0009801175,0.8253123],"study_design_scores_gemma":[0.0008698015,0.02082839,0.5023521,0.001974567,0.0007944142,0.01002211,0.04580631,0.0365864,0.14457,0.08781922,0.148038,0.0003388427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240642,0.0003863759,0.04807928,0.0003156297,0.00002757618,0.0002802173,0.00001058759,0.0001287191,0.02670752],"genre_scores_gemma":[0.9407687,0.0003681997,0.05502237,0.00007301907,0.00001937934,0.0001808309,0.00002166634,0.00001479531,0.003531029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00269634,"threshold_uncertainty_score":0.01425976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06430336505564264,"score_gpt":0.4854465111054145,"score_spread":0.4211431460497718,"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."}}