{"id":"W4321649027","doi":"10.1145/3544548.3581449","title":"Teachable Reality: Prototyping Tangible Augmented Reality with Everyday Objects by Leveraging Interactive Machine Teaching","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Augmented reality; Human–computer interaction; Computer science; Rapid prototyping; Context (archaeology); Flexibility (engineering); Multimedia; Mixed reality; User interface; Computer-mediated reality; Engineering; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002698936,0.0008942477,0.0009179014,0.0004829403,0.0008356816,0.0009266864,0.002893108,0.000403156,0.00004048888],"category_scores_gemma":[0.000193128,0.0007891649,0.0002357097,0.0008047494,0.0001345988,0.0009719686,0.004812737,0.003153131,0.0001045153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238986,"about_ca_system_score_gemma":0.0005103559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02428226,"about_ca_topic_score_gemma":0.001213296,"domain_scores_codex":[0.9933617,0.0008112678,0.001030432,0.002615548,0.00112101,0.001060095],"domain_scores_gemma":[0.9946123,0.0004592252,0.0009234814,0.003371534,0.0002821633,0.0003512698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009518165,0.007471696,0.005550331,0.006589603,0.009612625,0.0005122796,0.0706779,0.103057,0.009085327,0.1335322,0.5015341,0.1514252],"study_design_scores_gemma":[0.002034943,0.0003144707,0.001167238,0.003055845,0.0002607506,0.0001116365,0.001515207,0.9005695,0.008859983,0.03173161,0.04703933,0.003339491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006754827,0.00009553537,0.9613334,0.01132967,0.0003807286,0.004320907,0.0002536345,0.003039057,0.01857159],"genre_scores_gemma":[0.8557749,0.0001677487,0.1003525,0.001880443,0.0003874608,0.007925586,0.003706911,0.0004154459,0.02938904],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8609809,"threshold_uncertainty_score":0.9994559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04541480908606144,"score_gpt":0.3109657411907115,"score_spread":0.26555093210465,"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."}}