{"id":"W4404029936","doi":"10.1109/icccnt61001.2024.10724768","title":"“User AR” — Leveraging AI Based Augmented Reality for User Manuals","year":2024,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"","keywords":"Augmented reality; Computer science; Human–computer interaction; User interface; World Wide Web; Multimedia; Operating system","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":[0.0005604384,0.000163347,0.0001508864,0.0001306313,0.0001739444,0.0004104386,0.0007336193,0.0000707167,0.0001088457],"category_scores_gemma":[0.00002549341,0.000143563,0.0001254858,0.0005165976,0.00003936399,0.0004884026,0.0001802141,0.0001415858,0.0001685709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001304682,"about_ca_system_score_gemma":0.0001503295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001304582,"about_ca_topic_score_gemma":0.00003683296,"domain_scores_codex":[0.9983756,0.00005633152,0.0003116652,0.0006365253,0.0002762519,0.0003436052],"domain_scores_gemma":[0.9985781,0.0002703983,0.00004158843,0.0008945573,0.00009921803,0.0001161499],"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":[0.000005738388,0.0001481691,0.00006014541,0.0001320117,0.00007119217,0.000006012132,0.0002034158,0.001267141,0.001427672,0.7328234,0.2520592,0.01179592],"study_design_scores_gemma":[0.0002814352,0.00002765782,0.0003517812,0.0000453575,0.00001878858,0.000003788365,0.00002222263,0.5741189,0.009588354,0.01313522,0.4021906,0.0002158614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002735948,0.00004242182,0.954063,0.03964911,0.0002579336,0.0006300034,0.00003335973,0.0009907028,0.004059893],"genre_scores_gemma":[0.7248889,0.00001416489,0.2244934,0.01577555,0.0002969708,0.001295792,0.0001755524,0.00007479928,0.03298488],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7295696,"threshold_uncertainty_score":0.585433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824566748591918,"score_gpt":0.3284753274975477,"score_spread":0.2902296600116285,"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."}}