{"id":"W4379743585","doi":"10.32920/23331416","title":"Design of a Spatially Anchoring Framework Using an Augmented Reality Head-Mounted Device and Fisheye Lens","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Augmented reality; Headset; Computer science; Computer vision; Artificial intelligence; Computer graphics (images); Optical head-mounted display; Focus (optics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001256132,0.0004107399,0.0006058007,0.0002691658,0.0002234362,0.0002784285,0.001513809,0.0004996667,0.0000115318],"category_scores_gemma":[0.0001425475,0.000433191,0.00009010503,0.0007403215,0.0001416453,0.0004430062,0.00256244,0.0007862969,0.000007096296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002533796,"about_ca_system_score_gemma":0.0004930045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007000763,"about_ca_topic_score_gemma":0.0006589281,"domain_scores_codex":[0.9963932,0.000433239,0.0008501033,0.001309293,0.0005566785,0.000457472],"domain_scores_gemma":[0.9960996,0.0004677043,0.0005888197,0.002303672,0.000346231,0.0001939913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009704276,0.001302703,0.00231439,0.001867655,0.0009075136,0.00004789004,0.007812159,0.8832541,0.01580385,0.06266115,0.0007493669,0.02318216],"study_design_scores_gemma":[0.0001870146,0.00006467024,0.002210831,0.0005713438,0.00006348165,0.000006083959,0.00005446024,0.9717036,0.001999067,0.02263741,0.00007081958,0.0004311583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01465265,0.00006088233,0.9815764,0.001324225,0.0003002626,0.001159779,0.00005265011,0.0007088327,0.0001642679],"genre_scores_gemma":[0.3992487,0.0001639025,0.5998359,0.0002667149,0.0001526044,0.0001335308,0.00007928981,0.00005877085,0.00006057287],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.384596,"threshold_uncertainty_score":0.999812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.19405683157047,"score_gpt":0.3896495960029105,"score_spread":0.1955927644324405,"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."}}