{"id":"W2942028982","doi":"10.1145/3290605.3300870","title":"Peripheral Notifications in Large Displays","year":2019,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Notice; Feature (linguistics); Visual field; Peripheral vision; Human–computer interaction; Artificial intelligence; Peripheral; Computer vision; Neuroscience; Psychology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008062635,0.0000493637,0.00008238568,0.0001897165,0.0000391027,0.0001723223,0.0003462446,0.00002253645,0.0152659],"category_scores_gemma":[0.00006755286,0.00003459509,0.0000426162,0.0004793243,0.000009273213,0.0006867694,0.00006345961,0.00005175859,0.009504003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001959392,"about_ca_system_score_gemma":0.00001182792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000130671,"about_ca_topic_score_gemma":0.0001518132,"domain_scores_codex":[0.9989212,0.00002241436,0.0002951045,0.0001462792,0.0004762537,0.0001387195],"domain_scores_gemma":[0.999491,0.00008009999,0.00004850302,0.0002922941,0.0000548232,0.00003332969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005853575,0.00005937333,0.8913468,0.000001132579,0.000001335617,7.074526e-7,0.0008284244,0.0001144236,0.0001540952,0.08707351,0.01729665,0.003117661],"study_design_scores_gemma":[0.0002755573,0.000007766995,0.8576218,0.000001573608,0.000001009877,2.712988e-7,0.002039686,0.01458611,0.00001835523,0.0007071882,0.1246684,0.00007226419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567395,0.000003795453,0.001689186,0.00100544,0.0001636031,0.0001312681,0.000006676362,0.00002089497,0.1402397],"genre_scores_gemma":[0.9101166,7.654213e-7,0.0002812071,0.0005127818,0.000009224951,0.000007569463,0.000007670797,0.000001966593,0.08906222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073718,"threshold_uncertainty_score":0.9912672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.198516319461116,"score_gpt":0.4389554319069862,"score_spread":0.2404391124458702,"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."}}