{"id":"W2571300798","doi":"10.1109/vr.2017.7892332","title":"Exploring non-reversing magic mirrors for screen-based augmented reality systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reversing; Augmented reality; Computer science; MAGIC (telescope); Metaphor; Computer graphics (images); Visualization; Mirror image; Perception; Computer graphics; Human–computer interaction; Artificial intelligence; Optics; Physics; Psychology; Engineering","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":[0.0009786483,0.0004138348,0.0001810234,0.0002944306,0.0005250971,0.001974853,0.0005834564,0.0006176305,0.004501383],"category_scores_gemma":[0.003173378,0.0002700877,0.0003480708,0.000163912,0.00143485,0.002813854,0.001743414,0.00066729,0.000362498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000384946,"about_ca_system_score_gemma":0.0003015556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004522269,"about_ca_topic_score_gemma":0.0006539396,"domain_scores_codex":[0.9989842,0.0006567026,0.00002735173,0.0000618346,0.0001970215,0.00007288204],"domain_scores_gemma":[0.9988045,0.0008120016,0.00007785804,0.0001682879,0.00009303542,0.00004445777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000569683,0.0002783835,0.003276768,0.001160997,0.00006442977,0.001658637,0.04827287,0.009501179,0.282921,0.3408083,0.00192656,0.3095613],"study_design_scores_gemma":[0.0004398315,0.00438189,0.02292074,0.001084728,0.000363834,0.01130153,0.04836796,0.1708284,0.2320063,0.2247709,0.2830573,0.0004765562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6156846,0.001329373,0.3002007,0.001239762,0.0001007052,0.0001711878,0.00003167761,0.0005019043,0.08074003],"genre_scores_gemma":[0.9322892,0.0003768392,0.06461757,0.00004103858,0.000009707044,0.00003572955,0.000009795379,0.00004420122,0.002575998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004501383,"threshold_uncertainty_score":0.01505858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3409447021225477,"score_gpt":0.3578728831088495,"score_spread":0.01692818098630178,"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."}}