{"id":"W2035906147","doi":"10.1145/1179622.1179795","title":"Video augmented reality with robust tracking","year":2006,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Augmented reality; Computer science; Computer vision; Artificial intelligence; Tracking (education); Virtual reality; Computer graphics (images); Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001950111,0.0001083229,0.0001019332,0.00005116203,0.0001572756,0.0001402705,0.0005482651,0.00003879246,0.00003256376],"category_scores_gemma":[0.000005171116,0.00008412787,0.00003068977,0.0005016614,0.00005337124,0.0003756757,0.0001015033,0.0000906123,0.00005560415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006770632,"about_ca_system_score_gemma":0.0000454172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223044,"about_ca_topic_score_gemma":0.0007475523,"domain_scores_codex":[0.9988968,0.00003605674,0.0002015952,0.0003664435,0.0002636658,0.0002353947],"domain_scores_gemma":[0.9990211,0.00004802064,0.00007470545,0.0007133169,0.00008395305,0.00005886613],"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":[0.000007257198,0.0003475855,0.001847725,0.00001370714,0.00002793627,0.00001237637,0.0001002694,0.02134519,0.001493443,0.9371115,0.02280174,0.01489127],"study_design_scores_gemma":[0.003023185,0.0002786859,0.1915017,0.0001068517,0.00007066825,0.0002130582,0.0002064082,0.6163244,0.0427601,0.05336632,0.09046829,0.001680285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001890818,0.00001292947,0.9388802,0.004611388,0.00002459507,0.0001913624,0.000002455973,0.0004808886,0.05390535],"genre_scores_gemma":[0.9204218,0.000002320429,0.07704702,0.0003884389,0.00005766498,0.00005283082,0.00001899912,0.00001013053,0.002000787],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.918531,"threshold_uncertainty_score":0.3430635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664856728009942,"score_gpt":0.2432699766138361,"score_spread":0.2166214093337366,"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."}}