{"id":"W4320492663","doi":"10.5539/jel.v12n2p52","title":"The Imagineering Learning Model with Inquiry-Based Learning via Augmented Reality to Enhance Creative Products and Digital Empathy","year":2023,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Augmented reality; Empathy; Educational technology; Mathematics education; Psychology; Experiential learning; Computer science; Artificial intelligence; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009834834,0.0001276838,0.000149133,0.0001904058,0.0006875158,0.0004356898,0.000222309,0.00002845864,9.666292e-7],"category_scores_gemma":[0.0006943297,0.00009476505,0.00002432216,0.0007509502,0.00007636975,0.0005722017,0.0000964768,0.0006545229,0.00000475688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007067979,"about_ca_system_score_gemma":0.0002987575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001223865,"about_ca_topic_score_gemma":0.000002131239,"domain_scores_codex":[0.998812,0.0001403492,0.0002989524,0.0002533419,0.000282866,0.0002125418],"domain_scores_gemma":[0.9987038,0.0002226201,0.0003683928,0.0001583402,0.0003921623,0.000154631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005342691,0.00009445956,0.002833044,0.00004154925,0.00005694095,0.000002798369,0.02712874,0.7477142,0.003074297,0.0005642,0.0006163773,0.21782],"study_design_scores_gemma":[0.0003658264,0.0004368048,0.01714283,0.0002717101,0.00003378315,0.00009224126,0.01221197,0.949756,0.001262835,0.0003625042,0.01774769,0.0003158012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2898021,0.0001142459,0.7007994,0.008795286,0.00007961542,0.0001435936,2.264148e-7,0.00007666031,0.0001888373],"genre_scores_gemma":[0.990546,0.0000583523,0.007637439,0.0000843326,0.00009692147,0.00002179334,0.000005224573,0.00001425242,0.001535693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7007439,"threshold_uncertainty_score":0.5287885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752177711261071,"score_gpt":0.3096439676895947,"score_spread":0.292122190576984,"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."}}