{"id":"W4388428321","doi":"10.2196/47807","title":"An Augmented Reality Serious Game for Children’s Optical Science Education: Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Augmented reality; Randomized controlled trial; Serious game; Psychology; Computer science; Medicine; Multimedia; Human–computer interaction; Surgery","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":[0.00275136,0.002080115,0.007061187,0.0009542502,0.001105267,0.00135562,0.001764372,0.002950912,0.01066432],"category_scores_gemma":[0.003470883,0.001088861,0.002970879,0.0008176044,0.001595583,0.001315318,0.0009900687,0.003376091,0.0008598681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391407,"about_ca_system_score_gemma":0.002668864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004479541,"about_ca_topic_score_gemma":0.005792536,"domain_scores_codex":[0.9983198,0.0005956227,0.0002319954,0.0003927122,0.0001931508,0.0002667205],"domain_scores_gemma":[0.9985405,0.0005105332,0.0002565771,0.0001240593,0.000190133,0.0003782858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9154808,0.05369011,0.0003355943,0.005460816,0.001907878,0.00007604308,0.0001553568,0.0002604099,0.001210821,0.0002537909,0.0009000617,0.02026833],"study_design_scores_gemma":[0.9018828,0.09436334,0.001038566,0.0002465728,0.0007467299,0.00001231056,0.00008611275,0.000362444,0.0002754572,0.0001364766,0.000825642,0.00002374163],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8948809,0.01247484,0.002493988,0.00100123,0.002935434,0.08108658,0.002084698,0.0004689465,0.002573422],"genre_scores_gemma":[0.80317,0.01007924,0.01063116,0.001624696,0.0011416,0.1655611,0.001001709,0.00005191498,0.006738684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066432,"threshold_uncertainty_score":0.0356757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341264858442039,"score_gpt":0.3333850615218333,"score_spread":0.319972412937413,"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."}}