{"id":"W2475126544","doi":"10.1145/2911451.2911463","title":"A Platform for Streaming Push Notifications to Mobile Assessors","year":2016,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Automatic summarization; Computer science; World Wide Web; Push technology; Relevance (law); Social media; Set (abstract data type); Mobile device; Multimedia; Task (project management); Crowdsourcing; Information retrieval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007551057,0.001213928,0.0008905249,0.001740951,0.0008083651,0.002801789,0.001861518,0.001362729,0.01421142],"category_scores_gemma":[0.02565303,0.000654221,0.0005310313,0.0008383492,0.0005366686,0.003786346,0.003431503,0.00176128,0.005691015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000801044,"about_ca_system_score_gemma":0.001613306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002427451,"about_ca_topic_score_gemma":0.003214916,"domain_scores_codex":[0.9923854,0.003635407,0.0007219815,0.000941153,0.001891989,0.0004240719],"domain_scores_gemma":[0.9806876,0.009417445,0.001194906,0.002509425,0.003034235,0.00315648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01620075,0.005790195,0.02825549,0.002028706,0.0006827515,0.002109268,0.008638458,0.01076958,0.1070788,0.01400612,0.1149967,0.6894432],"study_design_scores_gemma":[0.005207465,0.01663276,0.06068844,0.0006065903,0.0006617595,0.001302782,0.00452602,0.4131661,0.0765576,0.04538999,0.374082,0.001178465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2834415,0.0007673021,0.51683,0.003305705,0.001341645,0.01571888,0.009833789,0.1310526,0.03770864],"genre_scores_gemma":[0.6552665,0.000262933,0.312277,0.0009188989,0.000465428,0.008203986,0.006291547,0.002316085,0.01399772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01421142,"threshold_uncertainty_score":0.04754192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3883523277611364,"score_gpt":0.4854007305677551,"score_spread":0.0970484028066187,"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."}}