{"id":"W6888442983","doi":"10.20380/gi2022.24","title":"A Design Framework for Contextual and Embedded Information Visualizations in Spatial Augmented Reality","year":2022,"lang":"en","type":"article","venue":"Canada Human-Computer Communications Society","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Augmented reality; Visualization; Context (archaeology); Process (computing); Spatial contextual awareness; Data visualization; Information visualization; Design process","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":[0.007811249,0.001613976,0.000520787,0.001964345,0.001903543,0.006468771,0.00265223,0.002548149,0.007009575],"category_scores_gemma":[0.006873595,0.001191933,0.001698369,0.0009177628,0.004703579,0.004664589,0.004976814,0.002558811,0.001460489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002013508,"about_ca_system_score_gemma":0.003328598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004815245,"about_ca_topic_score_gemma":0.006258623,"domain_scores_codex":[0.9938242,0.003160486,0.0005209089,0.0006002887,0.001523248,0.0003708524],"domain_scores_gemma":[0.9970085,0.001082743,0.0002146347,0.0005613847,0.0008053997,0.0003274593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004030943,0.00006409767,0.0003471491,0.0004239464,0.00003416456,0.0004385143,0.005841967,0.02272326,0.007219462,0.9077647,0.003871716,0.05123077],"study_design_scores_gemma":[0.0001045204,0.0003212703,0.0004895768,0.00100079,0.0001474549,0.001594312,0.004016736,0.1520546,0.01087887,0.3644337,0.4647731,0.0001851374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001302599,0.0001665496,0.9894217,0.0005725098,0.00004602141,0.0001994775,0.00003927432,0.0004493711,0.007802546],"genre_scores_gemma":[0.05048139,0.0003273691,0.9431983,0.0001544932,0.00002669679,0.0008074017,0.0001256618,0.0001728505,0.004705743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007811249,"threshold_uncertainty_score":0.04131031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06179005231513975,"score_gpt":0.3341619149715408,"score_spread":0.2723718626564011,"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."}}