{"id":"W2597458491","doi":"10.1145/3051480","title":"More than Meets the Eye","year":2017,"lang":"en","type":"article","venue":"Journal on Computing and Cultural Heritage","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Ontario Institute of Technology","keywords":"Interactivity; Embodied cognition; Augmented reality; Cultural heritage; Visual arts; Interface (matter); Computer science; Human–computer interaction; Space (punctuation); Virtual reality; Multimedia; Art; Computer graphics (images); Archaeology; History; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001435847,0.0007857183,0.0005726939,0.0007914391,0.005461673,0.0109682,0.0008922376,0.004394652,0.1000965],"category_scores_gemma":[0.005324156,0.0004062322,0.0005941505,0.0005526308,0.006197849,0.0118372,0.008749767,0.004413917,0.02403369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960057,"about_ca_system_score_gemma":0.002593047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007923918,"about_ca_topic_score_gemma":0.01317997,"domain_scores_codex":[0.9980849,0.0004332647,0.00006650516,0.0004023348,0.0007158477,0.0002972283],"domain_scores_gemma":[0.9977286,0.0005356426,0.0001292229,0.0005555751,0.0005343591,0.0005166094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001387961,0.00005509728,0.001682048,0.0004952711,0.00005135822,0.0008769153,0.01239886,0.0002129491,0.005377532,0.2111604,0.5395602,0.2279905],"study_design_scores_gemma":[0.000005802855,0.00001253002,0.0002765046,0.0001273031,0.000006984816,0.0004047443,0.002538105,0.00004510762,0.0002217507,0.01318378,0.983165,0.00001229351],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01071243,0.02048184,0.0202648,0.1367653,0.008201671,0.00005528414,0.0004096977,0.001604815,0.8015043],"genre_scores_gemma":[0.2035315,0.01468315,0.01757402,0.06162881,0.004256748,0.00008683864,0.0004193376,0.001352496,0.6964672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1000965,"threshold_uncertainty_score":0.3348562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02987829014706452,"score_gpt":0.3227630934352443,"score_spread":0.2928848032881798,"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."}}