{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131857,0.0008574144,0.0003949371,0.0006407697,0.0004126734,0.002154659,0.001475784,0.0009423928,0.00695951],"category_scores_gemma":[0.00402961,0.000652327,0.0008914316,0.0003006829,0.001399942,0.002373921,0.002652186,0.001034007,0.001473429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003012929,"about_ca_system_score_gemma":0.0003862118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004711463,"about_ca_topic_score_gemma":0.0008190789,"domain_scores_codex":[0.998409,0.0005295497,0.0000768963,0.000190509,0.0006647273,0.0001293758],"domain_scores_gemma":[0.9985682,0.000747081,0.00008758409,0.0003837398,0.0001115926,0.0001017931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003174667,0.0003804232,0.001212076,0.001924263,0.0001262121,0.00288194,0.009631762,0.04072032,0.2970819,0.08108356,0.005900598,0.5587395],"study_design_scores_gemma":[0.00030052,0.002070552,0.003350848,0.0006854892,0.0001956538,0.009369248,0.002876411,0.1755451,0.3049168,0.02882626,0.4713472,0.0005158086],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0267319,0.0004792314,0.9594716,0.0001455377,0.000110073,0.0001736716,0.00004213435,0.0028204,0.01002546],"genre_scores_gemma":[0.213955,0.0008115351,0.7769514,0.0001094166,0.00003884428,0.000244398,0.0001133915,0.0007081052,0.007067994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00695951,"threshold_uncertainty_score":0.02328181,"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."}}