{"id":"W4396832276","doi":"10.1145/3613904.3642527","title":"ProInterAR: A Visual Programming Platform for Creating Immersive AR Interactions","year":2024,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Human–computer interaction; Scripting language; Animation; Visualization; Usability; Multimedia; Domain (mathematical analysis); Augmented reality; Visual programming language; Computer graphics (images); Programming language; Artificial intelligence","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":[0.0009361605,0.001490362,0.0004768023,0.0008415627,0.0003692732,0.001408983,0.002655071,0.0008910359,0.01599137],"category_scores_gemma":[0.001810809,0.001047703,0.001295911,0.0002950069,0.0007006263,0.001637651,0.002462169,0.002198514,0.004697868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002561717,"about_ca_system_score_gemma":0.0006412657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007093986,"about_ca_topic_score_gemma":0.00157234,"domain_scores_codex":[0.9994016,0.00008073063,0.00004885403,0.0001405904,0.0002363029,0.00009200966],"domain_scores_gemma":[0.9991332,0.0003519879,0.00007927269,0.0001621351,0.0001423255,0.000131112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001064803,0.001059213,0.002133223,0.001582922,0.0001734884,0.001495613,0.003129263,0.02335495,0.3355926,0.03639008,0.05368507,0.5403388],"study_design_scores_gemma":[0.0007028888,0.00146095,0.004359282,0.0003720851,0.0001798721,0.004186228,0.0003804226,0.2441993,0.2228858,0.01694776,0.5038955,0.000429892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006581789,0.00009501519,0.9538572,0.00006832439,0.0000437573,0.0004249535,0.0003381909,0.03217554,0.006415211],"genre_scores_gemma":[0.05559586,0.0003579033,0.9112825,0.0001972419,0.00003149268,0.00133247,0.001661805,0.01202091,0.01751982],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01599137,"threshold_uncertainty_score":0.05349642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750565225631309,"score_gpt":0.343653958381583,"score_spread":0.3161483061252699,"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."}}