{"id":"W2798583009","doi":"10.1145/3209978.3210018","title":"Update Delivery Mechanisms for Prospective Information Needs","year":2018,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":9,"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; Context (archaeology); Operationalization; Reading (process); Mobile device; World Wide Web; Mechanism (biology); Push technology; Consumption (sociology); Internet privacy; Human–computer interaction; Multimedia; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019874,0.00006507523,0.00007228515,0.0001122862,0.00009866459,0.0001711057,0.0003198248,0.00003783724,0.00001357518],"category_scores_gemma":[0.000006002289,0.00005101052,0.00003334327,0.0001778189,0.00001064101,0.001467543,0.0001042479,0.00002440025,0.00008985883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002780248,"about_ca_system_score_gemma":0.00002087435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003481353,"about_ca_topic_score_gemma":0.000007243313,"domain_scores_codex":[0.9995515,0.000009031653,0.0001461939,0.00007327755,0.00008821647,0.000131729],"domain_scores_gemma":[0.99947,0.00001337318,0.00005735144,0.0002305225,0.0001978444,0.0000309029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002403189,0.000005775215,0.00001870619,0.000004704616,0.000006209124,3.914264e-8,0.0005842905,7.154698e-8,0.0001134407,0.9551738,0.01337832,0.03071225],"study_design_scores_gemma":[0.0005957165,0.0008398347,0.0003461134,0.00002110647,0.000005273831,0.0000177752,0.0003707492,0.04602141,0.2159079,0.4960534,0.2394519,0.000368872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003956079,0.000003085801,0.9779988,0.0005649729,0.0003369747,0.0003924774,0.000001590302,0.000399548,0.01990697],"genre_scores_gemma":[0.6732439,0.000001993647,0.3253409,0.001032364,0.00005817982,0.0000930135,0.000002179728,0.000002773264,0.0002246893],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6728483,"threshold_uncertainty_score":0.2080149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020623333300579,"score_gpt":0.2286849257570455,"score_spread":0.2184786924240397,"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."}}