{"id":"W2106935133","doi":"10.1109/ismar.2007.4538858","title":"Webtag: A World Wide Internet Based AR System","year":2007,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Identifier; The Internet; Unique identifier; Animation; Augmented reality; World Wide Web; Computer graphics (images); Human–computer interaction; Computer network","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":[0.0006053682,0.0008009647,0.0006057488,0.001491852,0.0004362057,0.001541416,0.001324421,0.001149963,0.04179024],"category_scores_gemma":[0.001043761,0.0003485257,0.0003677609,0.001351733,0.0002644198,0.002139073,0.001409662,0.0007320247,0.03093817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763367,"about_ca_system_score_gemma":0.0003816188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001501643,"about_ca_topic_score_gemma":0.001710245,"domain_scores_codex":[0.9994528,0.0000585633,0.0000441414,0.00008970765,0.0003034782,0.00005142965],"domain_scores_gemma":[0.9993104,0.00008607981,0.00004397806,0.0001939517,0.0002569199,0.0001086484],"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":[0.001965123,0.0006989195,0.003322853,0.0005928989,0.0001259001,0.0011585,0.0003803708,0.001760458,0.06436365,0.004612464,0.4377076,0.4833112],"study_design_scores_gemma":[0.00113045,0.001744517,0.01087316,0.0001339471,0.0002361215,0.004217648,0.000280744,0.06923869,0.09124339,0.004873469,0.815671,0.00035685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.03627643,0.0009319208,0.3273227,0.0005017938,0.0006514654,0.001602113,0.01456754,0.4773272,0.1408188],"genre_scores_gemma":[0.4365636,0.001395013,0.2136897,0.002388038,0.0006425914,0.002166772,0.06953706,0.02230397,0.2513132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04179024,"threshold_uncertainty_score":0.1398023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498998525016881,"score_gpt":0.2472470801680215,"score_spread":0.2322570949178527,"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."}}