{"id":"W2113067832","doi":"10.1109/crv.2008.39","title":"Multiple View Integration and Display Using Virtual Mirrors","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Mirroring; Panorama; Computer vision; Computer science; Compositing; Artificial intelligence; Viewpoints; Computer graphics (images); Image stitching; Virtual reality; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000301311,0.0006585455,0.0005809535,0.0004723386,0.0003480242,0.001089149,0.001063661,0.0006165342,0.004105581],"category_scores_gemma":[0.0009539706,0.0004537587,0.0008118942,0.0003170339,0.0003846106,0.001422214,0.001665284,0.0006790452,0.0009766434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003717428,"about_ca_system_score_gemma":0.0002279263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007199723,"about_ca_topic_score_gemma":0.0006608434,"domain_scores_codex":[0.9995517,0.00006330553,0.00001714306,0.0000913448,0.0002269979,0.00004943667],"domain_scores_gemma":[0.9996113,0.0001113856,0.00003308597,0.0001243773,0.00008339193,0.00003641182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004021889,0.0001109266,0.0008925537,0.000217016,0.0001030057,0.0006865997,0.0006199044,0.0157782,0.609903,0.02581905,0.003636681,0.3418307],"study_design_scores_gemma":[0.0001165793,0.0007454325,0.002410715,0.00008588217,0.0001269426,0.003247906,0.0002773487,0.3035629,0.60555,0.01193037,0.07177295,0.0001728681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0579198,0.001118398,0.9233998,0.0001915307,0.0001815881,0.0000916523,0.0000611449,0.002158831,0.01487734],"genre_scores_gemma":[0.4296517,0.001064015,0.5569612,0.0001544136,0.0001412127,0.0001293946,0.0001554764,0.000243492,0.01149909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004105581,"threshold_uncertainty_score":0.01373452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05263420603800183,"score_gpt":0.3103112857914531,"score_spread":0.2576770797534512,"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."}}