{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006177678,0.0006163045,0.0006732085,0.003685684,0.001297716,0.003677134,0.001676448,0.001707501,0.005071582],"category_scores_gemma":[0.04413222,0.0007839272,0.0006151367,0.002123376,0.0005528484,0.005861994,0.001458828,0.00141505,0.001453042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609513,"about_ca_system_score_gemma":0.001188175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004559268,"about_ca_topic_score_gemma":0.004611063,"domain_scores_codex":[0.9970127,0.001081942,0.0003656853,0.0004897089,0.0008321399,0.00021779],"domain_scores_gemma":[0.9695378,0.01624122,0.004343868,0.004916138,0.004111608,0.0008494305],"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":[0.001829486,0.001301783,0.2346878,0.001638863,0.0004046976,0.0009995067,0.01564925,0.01273004,0.03001892,0.06307792,0.01349756,0.6241642],"study_design_scores_gemma":[0.0005943763,0.002546127,0.3197818,0.00053879,0.001570485,0.00450799,0.01371705,0.4596436,0.03567132,0.06113942,0.0996627,0.000626409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7549151,0.002111619,0.2068743,0.003786331,0.0001084398,0.001220088,0.001143776,0.004250023,0.02559022],"genre_scores_gemma":[0.9445368,0.0003566837,0.04842006,0.000134133,0.00006458088,0.0002114715,0.00055292,0.0001039861,0.005619338],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006177678,"threshold_uncertainty_score":0.03267109,"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."}}