{"id":"W4235360653","doi":"10.32920/ryerson.14648931","title":"A markerless augmented reality system for mobile devices","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Augmented reality; Computer science; Computer vision; Rendering (computer graphics); Artificial intelligence; Mobile device; Fiducial marker; Computer graphics (images); Feature (linguistics); Virtual reality","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007711303,0.0003276598,0.0005025096,0.0001002366,0.0002051601,0.0006207966,0.00222604,0.0003252279,0.00002031418],"category_scores_gemma":[0.00002204984,0.0003155997,0.0002872154,0.0003217683,0.00004464171,0.000187908,0.002883505,0.0003219487,0.00001841887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003978732,"about_ca_system_score_gemma":0.0004400469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006409397,"about_ca_topic_score_gemma":0.0003723656,"domain_scores_codex":[0.9971282,0.0001806882,0.0006332236,0.00128496,0.0003939536,0.0003789306],"domain_scores_gemma":[0.996141,0.0002333793,0.0004015195,0.002624373,0.000437815,0.0001619011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008746759,0.003132049,0.001251272,0.03218687,0.002866878,0.00008307047,0.003477786,0.04605772,0.001210027,0.6466817,0.06186147,0.2011037],"study_design_scores_gemma":[0.001068278,0.00006401337,0.004524481,0.00147282,0.0002127516,0.00005653437,0.00183445,0.9492202,0.004682362,0.002227554,0.03299624,0.001640248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001841445,0.0002800067,0.986962,0.001080503,0.000650494,0.002536534,0.0001461873,0.0009409537,0.005561934],"genre_scores_gemma":[0.8750018,0.00004180109,0.1136367,0.0002937587,0.000162284,0.008839584,0.0006819773,0.00003899478,0.001303173],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9031625,"threshold_uncertainty_score":0.9999296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03667282033792424,"score_gpt":0.3100670812978058,"score_spread":0.2733942609598816,"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."}}