{"id":"W1997334886","doi":"10.1145/1280720.1280885","title":"Magic lens augmented reality","year":2007,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Augmented reality; Computer-mediated reality; Virtual reality; Computer graphics (images); MAGIC (telescope); Computer science; Mixed reality; Human–computer interaction; Virtual world; Lens (geology); Engineering; Physics","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":[0.0005404676,0.001278967,0.0007921261,0.001980876,0.0007806519,0.004030368,0.001911854,0.001458158,0.07084811],"category_scores_gemma":[0.002205414,0.0008046466,0.0008820141,0.001728043,0.0006543401,0.00273705,0.002796574,0.001424432,0.01997411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006025373,"about_ca_system_score_gemma":0.0008942569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002665055,"about_ca_topic_score_gemma":0.002286639,"domain_scores_codex":[0.998426,0.000160108,0.00006675229,0.0002381701,0.00100217,0.000106906],"domain_scores_gemma":[0.9990669,0.0001604074,0.00005092563,0.000251312,0.0003947536,0.00007557795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005808528,0.00006040814,0.0006240195,0.001025675,0.00009121183,0.0004663443,0.0004061796,0.002675636,0.03934322,0.06264149,0.08617697,0.8059081],"study_design_scores_gemma":[0.0001062027,0.0002461995,0.001187646,0.0002492556,0.0001117,0.002876434,0.0001392736,0.01086853,0.02758333,0.01196727,0.9444163,0.0002479212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006966944,0.0135612,0.6477838,0.001177003,0.001552982,0.0003595846,0.002587143,0.01413158,0.3118798],"genre_scores_gemma":[0.1939079,0.01568508,0.5351948,0.001630408,0.0005782929,0.0005111911,0.005686843,0.002140698,0.2446648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07084811,"threshold_uncertainty_score":0.2370105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03862816569320349,"score_gpt":0.3007054239680359,"score_spread":0.2620772582748324,"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."}}