{"id":"W2004787689","doi":"10.1145/2814940.2814956","title":"Flying Frustum","year":2015,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"CMG Reservoir Simulation Foundation","keywords":"Frustum; Situated; Computer science; Terrain; Human–computer interaction; Headset; Interface (matter); Situation awareness; Computer graphics (images); Artificial intelligence; Engineering; Aerospace engineering","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":[0.0002696477,0.001024099,0.0003430162,0.0005074087,0.000627455,0.001179788,0.001252348,0.0009056756,0.02620776],"category_scores_gemma":[0.001157953,0.0002942807,0.0006986024,0.000269152,0.0005126196,0.001402779,0.00167808,0.0006431724,0.003490109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003487668,"about_ca_system_score_gemma":0.0004339857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004912421,"about_ca_topic_score_gemma":0.005302302,"domain_scores_codex":[0.9997137,0.00003929642,0.00001394542,0.00006133862,0.0001166662,0.00005498401],"domain_scores_gemma":[0.9995775,0.0001212525,0.00002808986,0.0001201308,0.00008016822,0.00007286526],"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":[0.001353298,0.0002819448,0.003391723,0.001519813,0.0001042867,0.002404561,0.004751757,0.008840564,0.156629,0.02215139,0.1035797,0.6949921],"study_design_scores_gemma":[0.0002140056,0.001594791,0.01194555,0.0005068124,0.0001868517,0.004656872,0.001237222,0.05856745,0.07989127,0.00592333,0.8349437,0.0003322495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1315691,0.002192007,0.693345,0.00135404,0.001133773,0.001131574,0.003674763,0.05929669,0.1063031],"genre_scores_gemma":[0.5360973,0.001330909,0.3946585,0.001103492,0.0002105565,0.0005343243,0.003673774,0.002486145,0.05990495],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02620776,"threshold_uncertainty_score":0.08767366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08021178726226312,"score_gpt":0.2878774556824707,"score_spread":0.2076656684202076,"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."}}