{"id":"W1984710914","doi":"10.1145/2783446.2783570","title":"Analyzing play experience sensitivity to input sensor noise in outdoor augmented reality smartphone games","year":2015,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Augmented reality; Computer science; Noise (video); Human–computer interaction; Overlay; Sensitivity (control systems); Modality (human–computer interaction); Mobile device; Multimedia; Input device; Computer vision; Computer hardware; Engineering; Image (mathematics)","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":[0.001357447,0.0005825021,0.0003817285,0.0008659257,0.000283288,0.001247656,0.0004550866,0.0003949211,0.002120216],"category_scores_gemma":[0.01901809,0.0003394275,0.0003921348,0.0003393535,0.0005924157,0.0006752402,0.001112612,0.0005661147,0.0002569802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003469158,"about_ca_system_score_gemma":0.0001620305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324963,"about_ca_topic_score_gemma":0.001828062,"domain_scores_codex":[0.9981514,0.0005331336,0.0001686799,0.000219055,0.0007638686,0.0001638235],"domain_scores_gemma":[0.9861397,0.009968798,0.00134081,0.0006546488,0.001453544,0.0004423779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01524728,0.006104314,0.3555849,0.002576822,0.0007344878,0.002049324,0.04703464,0.02114874,0.3792826,0.001504816,0.002263877,0.1664682],"study_design_scores_gemma":[0.0001749911,0.01031014,0.896071,0.0001586141,0.0003583685,0.0009189856,0.01084199,0.02301833,0.05483595,0.0006492249,0.002472034,0.0001904011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972645,0.00002370801,0.001803757,0.000007546805,0.000005594346,0.00005854781,0.00005356544,0.00002145207,0.0007613464],"genre_scores_gemma":[0.9966003,0.0000375172,0.002498292,0.0000249368,0.000005216281,0.0001241556,0.0001214379,0.00003071969,0.0005574026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002120216,"threshold_uncertainty_score":0.007178962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06696571508055957,"score_gpt":0.3718114573171885,"score_spread":0.3048457422366289,"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."}}