{"id":"W4367849115","doi":"10.32920/22734287.v1","title":"A Novel Augmented Reality Framework for Museum Exhibits","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Augmented reality; Bluetooth; Inertial measurement unit; Computer science; Android (operating system); Beacon; Simultaneous localization and mapping; Artificial intelligence; Computer vision; Human–computer interaction; Computer graphics (images); Real-time computing; Wireless; Mobile robot; Robot; Telecommunications","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":[0.0007817128,0.0003863435,0.000441469,0.0001971214,0.0002257541,0.0003441479,0.002853346,0.0006289672,0.00001780065],"category_scores_gemma":[0.000287066,0.0003835495,0.0003094165,0.0005800549,0.00007244091,0.000136842,0.004072753,0.0007606475,0.0001745372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277803,"about_ca_system_score_gemma":0.0003330568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009305316,"about_ca_topic_score_gemma":0.0002461031,"domain_scores_codex":[0.9967629,0.00005174287,0.0006512687,0.001496598,0.000489116,0.0005484024],"domain_scores_gemma":[0.9952688,0.0006675933,0.0003892278,0.00319214,0.000273989,0.000208215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005261845,0.0003293134,0.0000085499,0.0002112886,0.0001376385,0.000001280366,0.0002474703,0.002058705,0.0002428767,0.9641938,0.02977435,0.002789484],"study_design_scores_gemma":[0.0004251511,0.00003839543,0.0009534431,0.0003079427,0.00005018193,0.000004951685,0.00004843963,0.2827543,0.001170483,0.6992831,0.01423521,0.0007283583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004858608,0.00001864642,0.9613047,0.03201973,0.0009395579,0.002068063,0.0003691709,0.002177827,0.001053693],"genre_scores_gemma":[0.02133035,0.00005464009,0.9694135,0.001395615,0.0003908574,0.003620152,0.0004673399,0.0000853172,0.003242298],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2806956,"threshold_uncertainty_score":0.9998617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521845585634381,"score_gpt":0.3686541761123158,"score_spread":0.2164696175488777,"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."}}