{"id":"W3118950340","doi":"10.1007/s10055-020-00490-2","title":"Surface Prediction for Spatial Augmented Reality Applications","year":2021,"lang":"en","type":"article","venue":"Virtual Reality","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Augmented reality; Computer vision; Surface (topology); Position (finance); Artificial intelligence; Kalman filter; Projection (relational algebra); Road surface; Surface reconstruction; Algorithm; Mathematics; Geometry; Materials science","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":[0.0007652532,0.0002020995,0.0002528907,0.00004177141,0.0004519793,0.0001496217,0.0007209136,0.0001587815,0.00002508611],"category_scores_gemma":[0.0001762061,0.0002198751,0.0001559145,0.0007320935,0.0001068666,0.0003473029,0.0003333827,0.0001895526,0.00005075191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002397191,"about_ca_system_score_gemma":0.0003587705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005486012,"about_ca_topic_score_gemma":0.0003755311,"domain_scores_codex":[0.9975106,0.0002104225,0.0005570998,0.0008904925,0.0004435608,0.00038784],"domain_scores_gemma":[0.9970554,0.0003352001,0.000210225,0.001686205,0.0004899148,0.0002230272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004833225,0.001281149,0.0004647167,0.00009738254,0.0001673033,0.000004163836,0.0004177118,0.006749913,0.01626654,0.8052459,0.02755275,0.1417042],"study_design_scores_gemma":[0.002096239,0.0002600919,0.01957547,0.00004112472,0.0001168711,0.00003990398,0.0002480051,0.3949619,0.04112296,0.05590582,0.4848395,0.0007921252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00107558,0.00003934481,0.9859079,0.007036236,0.0002199747,0.00109246,0.0009157259,0.000546037,0.003166798],"genre_scores_gemma":[0.9757631,0.00008664476,0.01860863,0.0006674219,0.0003730603,0.001210088,0.0016038,0.00003288576,0.001654313],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9746876,"threshold_uncertainty_score":0.8966248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04115415136855371,"score_gpt":0.3095520687874792,"score_spread":0.2683979174189254,"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."}}