{"id":"W2463112553","doi":"10.1145/2911451.2914704","title":"Simple Dynamic Emission Strategies for Microblog Filtering","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Microblogging; Computer science; Social media; Simple (philosophy); Key (lock); Human–computer interaction; World Wide Web; Computer security","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":[0.00009623184,0.0000919448,0.0001062215,0.0000689672,0.0000677912,0.00008398136,0.000532695,0.00003621626,0.00002557897],"category_scores_gemma":[0.00002005611,0.00005557128,0.00006667178,0.0001121793,0.0000212054,0.0007397831,0.0001749269,0.00002235566,0.00001109041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000412651,"about_ca_system_score_gemma":0.00002709604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005921527,"about_ca_topic_score_gemma":0.00001626494,"domain_scores_codex":[0.9992902,0.000009793495,0.0001502605,0.0002742204,0.00007353893,0.0002019901],"domain_scores_gemma":[0.9993567,0.00009338453,0.00005132045,0.0004066303,0.00005079487,0.00004116631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001741748,0.000009000056,0.00003896348,0.000005560184,0.000005754744,8.836938e-7,0.00002376453,0.000005051144,0.8777695,0.03545142,0.001319118,0.08536929],"study_design_scores_gemma":[0.0002907472,0.00009686893,0.0001737668,0.00003760122,0.000005913072,0.000005870495,0.00003312412,0.03028771,0.4849934,0.465685,0.01808065,0.0003093367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005288783,0.00001712409,0.9926434,0.0004493656,0.00002546204,0.0001030645,0.000001878805,0.0005410689,0.0009299007],"genre_scores_gemma":[0.6358959,0.000008596487,0.3630192,0.00007667579,0.00000897129,0.00001986115,0.000001086271,0.00000601749,0.000963694],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6306071,"threshold_uncertainty_score":0.2266131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252131438409449,"score_gpt":0.3000183106035962,"score_spread":0.2874969962195017,"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."}}