{"id":"W2741544939","doi":"10.1145/3077136.3080667","title":"Finally, a Downloadable Test Collection of Tweets","year":2017,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Microblogging; World Wide Web; The Internet; Scalability; Download; Social media; Data collection; Information retrieval; Data science; Database","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":[0.0001219942,0.00003887402,0.00006824135,0.00003005234,0.0001700579,0.00009218542,0.0006358557,0.0000231345,0.00002989451],"category_scores_gemma":[0.0001059221,0.00003343167,0.00002185173,0.00004187103,0.0000169145,0.0002969144,0.0001890417,0.00003296291,0.00002293833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001201773,"about_ca_system_score_gemma":0.00004817517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004885739,"about_ca_topic_score_gemma":0.00009021693,"domain_scores_codex":[0.9995564,0.000005627364,0.00009756746,0.0001399807,0.0001084282,0.00009196393],"domain_scores_gemma":[0.9991482,0.00003489766,0.0000770493,0.000663775,0.000051199,0.00002486837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002223811,0.0007727981,0.3215991,0.0001649872,0.00007307203,0.00005073985,0.002532725,0.00159058,0.06276963,0.2979688,0.05383437,0.258621],"study_design_scores_gemma":[0.0008155031,0.0002258631,0.1064275,0.00005112336,0.000006979999,0.00002491986,0.00001639615,0.798386,0.07169408,0.01484222,0.007221203,0.0002881526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05646577,0.00001742079,0.8160313,0.001547255,0.000273098,0.00008197735,4.474254e-7,0.00007698438,0.1255058],"genre_scores_gemma":[0.9358183,0.000003053754,0.05792364,0.00004481732,0.00002005251,0.000002529473,7.506281e-8,0.000001339374,0.006186178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8793526,"threshold_uncertainty_score":0.1363304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305441985586857,"score_gpt":0.260896675642129,"score_spread":0.2303524770834433,"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."}}