{"id":"W4416972941","doi":"10.37134/saecj.vol14.2.6.2025","title":"Design of Augmented Reality-based Interactive Learning Media to Recognize Endemic Animals in Early Childhood","year":2025,"lang":"","type":"article","venue":"Southeast Asia Early Childhood Journal","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Interactive media; Interactive Learning; Early childhood; Indonesian; Process (computing); Adaptation (eye); Focus group; Digital media; Early childhood education","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":[0.0009011363,0.0007994179,0.0002671956,0.0009416461,0.0002778131,0.001145916,0.001126498,0.0006192467,0.005058054],"category_scores_gemma":[0.001771526,0.0003657179,0.0006524275,0.0002399892,0.0003385346,0.0008531526,0.0008825584,0.0003302928,0.0007551008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002589814,"about_ca_system_score_gemma":0.0003248298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003157113,"about_ca_topic_score_gemma":0.0004321989,"domain_scores_codex":[0.9994574,0.0001989461,0.00004686095,0.00009157236,0.0001448645,0.00006034558],"domain_scores_gemma":[0.9990662,0.0005127474,0.00008984218,0.00006875936,0.0001935733,0.00006901518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001470504,0.001433599,0.01049074,0.002806748,0.0001835993,0.002182588,0.00565986,0.04530121,0.3177945,0.01244715,0.004049024,0.5961804],"study_design_scores_gemma":[0.0006858676,0.0115497,0.037265,0.0009658692,0.001056643,0.004534782,0.007781184,0.3608988,0.4186081,0.007407165,0.1487864,0.0004606015],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.291513,0.0004919862,0.6851603,0.0002681183,0.0001677128,0.001581054,0.0002909537,0.002543557,0.01798331],"genre_scores_gemma":[0.5430747,0.0005596602,0.4469315,0.00007877311,0.00002572643,0.001560374,0.0002544801,0.0001345921,0.007380224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005058054,"threshold_uncertainty_score":0.01692086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181475684766847,"score_gpt":0.2669100649891925,"score_spread":0.2487624965125078,"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."}}