{"id":"W4392456009","doi":"10.1061/9780784485231.028","title":"SPEAR: Social Presence Enabled Augmented Reality Tool for Engineering Education","year":2024,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fluidigm (Canada)","funders":"","keywords":"Augmented reality; Spear; Computer science; Human–computer interaction; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002930928,0.00009572148,0.00008477709,0.00007715332,0.0001234887,0.0002672072,0.0004501966,0.00005010026,0.00002317343],"category_scores_gemma":[0.00005188947,0.0000922937,0.00006582765,0.0004258541,0.00001627278,0.0004234646,0.0001198319,0.00008405759,0.00004822413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229374,"about_ca_system_score_gemma":0.0002427885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006701191,"about_ca_topic_score_gemma":0.000006811121,"domain_scores_codex":[0.9990512,0.00001831462,0.0001949709,0.0003596469,0.000165981,0.0002098812],"domain_scores_gemma":[0.9993773,0.0001337244,0.00002659402,0.0003383833,0.00007756531,0.00004647502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001824031,0.00007509204,0.000004584095,0.0001526341,0.00002658736,3.922324e-7,0.0004046632,0.000169745,0.002820629,0.8754426,0.05372597,0.06717531],"study_design_scores_gemma":[0.0001151206,0.00001842089,0.0005545727,0.00004186316,0.00001459137,0.000005540379,0.0000407812,0.7715781,0.003310834,0.009117564,0.2149969,0.0002056713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007269213,0.00006279851,0.9863478,0.008034389,0.0004235488,0.0005675071,0.00001069516,0.000683286,0.003143078],"genre_scores_gemma":[0.8931904,0.00002084651,0.09252851,0.0004820022,0.0007693809,0.001354717,0.00008496498,0.00003374708,0.01153535],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8938193,"threshold_uncertainty_score":0.3763628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087010401738053,"score_gpt":0.2997913295415925,"score_spread":0.2789212255242119,"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."}}