{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005514006,0.0003390786,0.0005731555,0.0006204607,0.0007828918,0.0001291257,0.0003292137,0.0001957045,0.0001113828],"category_scores_gemma":[0.006676314,0.0003459438,0.00009185186,0.001331739,0.001691947,0.0008009621,0.0007931986,0.0004552566,0.00001467666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009205279,"about_ca_system_score_gemma":0.001295138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000460607,"about_ca_topic_score_gemma":0.0002247245,"domain_scores_codex":[0.9975572,0.0002452936,0.0008425955,0.0006172772,0.0004529798,0.000284617],"domain_scores_gemma":[0.9908073,0.0006377138,0.0007563795,0.0001706486,0.00759031,0.00003763217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006486379,0.0006347831,0.01104818,0.0001475359,0.002519001,3.776846e-7,0.3134084,0.00002565472,0.004976779,0.2491185,0.02687103,0.3911849],"study_design_scores_gemma":[0.0005437236,0.0001408095,0.01137493,0.001525556,0.0002030155,0.000002254883,0.6169131,0.00004936814,0.02815058,0.0949703,0.2456564,0.000469896],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7187628,0.04252565,0.01649461,0.0954837,0.02977027,0.001324167,0.00006134289,0.0004160388,0.09516142],"genre_scores_gemma":[0.9183689,0.01719489,0.005838018,0.001200188,0.0003786781,0.0003253181,0.00001733894,0.00001532867,0.05666136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.390715,"threshold_uncertainty_score":0.9998993,"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."}}