{"id":"W2966271660","doi":"10.3390/su11164268","title":"Augmented Reality Markerless Multi-Image Outdoor Tracking System for the Historical Buildings on Parliament Hill","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Parliament; Augmented reality; Exhibition; Workflow; Cultural heritage; Computer science; Tracking (education); Architectural engineering; Multimedia; Human–computer interaction; Visual arts; Engineering; Database; Geography; Sociology; Political science; Archaeology; Law; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003453291,0.0002794428,0.0003607179,0.00007485127,0.0004764917,0.0002024191,0.001496533,0.0001328645,0.000007651029],"category_scores_gemma":[0.0007510157,0.0002081024,0.0002591638,0.0004389947,0.0001090997,0.0003245166,0.0003779538,0.0003195986,0.00002230472],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01049301,"about_ca_system_score_gemma":0.0003213084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008939907,"about_ca_topic_score_gemma":0.00003510723,"domain_scores_codex":[0.9968202,0.0003918943,0.000638756,0.001017013,0.0005061945,0.0006259715],"domain_scores_gemma":[0.9951737,0.001104536,0.000313061,0.002329626,0.0009134077,0.0001656705],"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":[0.0006364603,0.003907454,0.01277951,0.004645517,0.0003485111,0.0000210431,0.005154951,0.004585916,0.001368629,0.7050554,0.01999679,0.2414998],"study_design_scores_gemma":[0.005476669,0.0006150335,0.08183105,0.0001848504,0.000184686,0.0000231848,0.007490111,0.5661603,0.003133129,0.0113814,0.321858,0.001661528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01255852,0.00005483682,0.9586004,0.02314016,0.0005465315,0.004373943,0.00002967248,0.0004195145,0.0002764002],"genre_scores_gemma":[0.9906538,0.000003069254,0.006874683,0.0002616949,0.00006624057,0.0009948533,0.000009761205,0.00002382203,0.001112141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9780952,"threshold_uncertainty_score":0.9933055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546363379260152,"score_gpt":0.294587236727004,"score_spread":0.2691236029344025,"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."}}