{"id":"W2741687119","doi":"10.1145/3077136.3080808","title":"Online In-Situ Interleaved Evaluation of Real-Time Push Notification Systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automatic summarization; Computer science; Push technology; Software deployment; Notification system; Context (archaeology); Mobile device; Social media; Track (disk drive); World Wide Web; Information retrieval; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00574148,0.00007209196,0.0001765338,0.0003185735,0.00009565889,0.0003793549,0.0007580573,0.00004438402,0.000462887],"category_scores_gemma":[0.0009786037,0.00005358181,0.00005028221,0.0001524405,0.00004927556,0.001165009,0.000101407,0.00004314249,0.0005614139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000550099,"about_ca_system_score_gemma":0.00003997963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002775217,"about_ca_topic_score_gemma":0.0003848577,"domain_scores_codex":[0.9973542,0.0001230727,0.000715455,0.0001830522,0.001524606,0.00009960786],"domain_scores_gemma":[0.997678,0.0001079396,0.0006246186,0.0007938021,0.0007615457,0.00003413847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002114165,0.001239961,0.2189017,0.00006147339,0.0000643196,0.000003883016,0.00627281,0.003778762,0.1080577,0.02568774,0.04372516,0.5919951],"study_design_scores_gemma":[0.0005474765,0.00002030903,0.8434626,0.00002645335,0.0000217403,4.052627e-7,0.00155563,0.152179,0.0007327978,0.0004963205,0.000871611,0.00008564717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210231,0.000006247419,0.0002843204,0.0004079971,0.0002519402,0.0003186023,0.00000777262,0.00001608667,0.07768393],"genre_scores_gemma":[0.991532,0.000005627086,0.0002124898,0.00001583545,0.0000292476,0.0000139674,0.00002955999,0.000003100112,0.008158151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6245609,"threshold_uncertainty_score":0.7216027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.471018345135034,"score_gpt":0.5008605424722707,"score_spread":0.0298421973372367,"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."}}