{"id":"W4416021141","doi":"10.1016/j.ijcci.2025.100787","title":"“They all look mad with each other”: Understanding the needs and preferences of children and parents in AI-generated images for stories","year":2025,"lang":"en","type":"article","venue":"International Journal of Child-Computer Interaction","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Reading (process); Creativity; Value (mathematics); Literacy; Empirical research; Visual literacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00221855,0.0003301571,0.0001508229,0.0005217917,0.001889086,0.003209319,0.0009976469,0.001127322,0.003002952],"category_scores_gemma":[0.01299721,0.0002812717,0.000230363,0.0003122914,0.002743933,0.004272399,0.001875939,0.001657404,0.0003748651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409917,"about_ca_system_score_gemma":0.0007845183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007608378,"about_ca_topic_score_gemma":0.01134978,"domain_scores_codex":[0.9987057,0.0008738985,0.00003141032,0.00009409461,0.0001434889,0.0001513354],"domain_scores_gemma":[0.9957055,0.002964865,0.0005193746,0.0001316421,0.0003296454,0.0003488902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001014824,0.0001034401,0.01753893,0.0000987313,0.00001500467,0.0007777276,0.9649205,0.0001039535,0.001879384,0.002201822,0.001144233,0.01111487],"study_design_scores_gemma":[0.00001093658,0.00006982828,0.01448535,0.00007584083,0.00002830149,0.0006296952,0.9740739,0.0005073906,0.0008319098,0.001726457,0.007534665,0.0000256322],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860212,0.0001650909,0.001576291,0.001243075,0.0000191214,0.0000353284,0.00004997912,0.00002255616,0.01086734],"genre_scores_gemma":[0.9972622,0.0001595646,0.001143507,0.000189135,0.000003804039,0.00003636105,0.00003762076,0.0000124094,0.001155445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007608378,"threshold_uncertainty_score":0.0151282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0257203526246027,"score_gpt":0.3168931231692191,"score_spread":0.2911727705446164,"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."}}