{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003610608,0.001150005,0.0005855176,0.001069521,0.0007620353,0.003310212,0.002181236,0.001281677,0.01620591],"category_scores_gemma":[0.0004354276,0.0006353163,0.001697684,0.0008994207,0.0005753483,0.001517008,0.003428752,0.001169721,0.004430611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004791184,"about_ca_system_score_gemma":0.0007043694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00443031,"about_ca_topic_score_gemma":0.007001103,"domain_scores_codex":[0.9995043,0.0000908537,0.00002802365,0.0001136622,0.000198061,0.00006508749],"domain_scores_gemma":[0.9998583,0.00002010775,0.00001117367,0.00004854175,0.00003050384,0.00003132326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003935911,0.0003246741,0.001149425,0.001148771,0.000254783,0.002722358,0.004130521,0.07282656,0.08087201,0.1505041,0.05506911,0.6306041],"study_design_scores_gemma":[0.0001036379,0.0002740353,0.002222477,0.0002882196,0.0001362543,0.003411319,0.00123651,0.2793856,0.02321009,0.02503864,0.6644045,0.0002886751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005683488,0.0006787586,0.9640498,0.000197644,0.0001318288,0.0001502113,0.000676261,0.01028124,0.01815093],"genre_scores_gemma":[0.1071342,0.001083003,0.8700495,0.0001194531,0.0000981441,0.0002743941,0.001391429,0.0006732119,0.01917655],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01620591,"threshold_uncertainty_score":0.05421418,"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."}}