{"id":"W3032452414","doi":"10.1145/3313831.3376592","title":"Understanding Viewport- and World-based Pointing with Everyday Smart Devices in Immersive Augmented Reality","year":2020,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Viewport; Computer science; Augmented reality; Human–computer interaction; Leverage (statistics); Smartwatch; Multimedia; Mobile device; Artificial intelligence; Wearable computer; Embedded system; World Wide Web","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":[0.001329758,0.0004847941,0.0003110846,0.0005103598,0.0003349587,0.003064615,0.0005949757,0.0007711624,0.001780567],"category_scores_gemma":[0.005796118,0.0005427931,0.0004221914,0.0003938898,0.001346468,0.004698274,0.001355078,0.0006418206,0.0003538855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575409,"about_ca_system_score_gemma":0.000264591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092116,"about_ca_topic_score_gemma":0.00172383,"domain_scores_codex":[0.9989451,0.0004597193,0.0000784175,0.0001676355,0.0002467322,0.0001024237],"domain_scores_gemma":[0.9955907,0.003051284,0.000524021,0.0003985297,0.0003488525,0.00008673059],"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":[0.001079248,0.0006441395,0.03211154,0.002718355,0.0003194356,0.00108174,0.04558892,0.03243344,0.4569523,0.05633773,0.001342611,0.3693905],"study_design_scores_gemma":[0.0002397278,0.004442445,0.346109,0.002024375,0.0006879254,0.007321148,0.03469107,0.2317372,0.2425574,0.07580842,0.053507,0.0008742898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7070118,0.003009055,0.2783954,0.0005450774,0.00005946117,0.0001060568,0.0001254939,0.0003350218,0.01041265],"genre_scores_gemma":[0.9305795,0.001616174,0.06626584,0.00008334852,0.00002472317,0.00006396943,0.00006120736,0.00005875272,0.001246617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003064615,"threshold_uncertainty_score":0.007032573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106977992098692,"score_gpt":0.2754190386343884,"score_spread":0.1647212394245192,"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."}}