{"id":"W2739877106","doi":"10.1145/3077136.3084141","title":"Event Detection on Curated Tweet Streams","year":2017,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Event (particle physics); STREAMS; Computer network","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":[0.00005805554,0.00008000989,0.00009429049,0.00002799677,0.0002659892,0.00009896816,0.0001645895,0.00001498641,0.0009018439],"category_scores_gemma":[0.000002315272,0.00006638274,0.00008094311,0.00003071896,0.00001803521,0.00007629929,0.00004678759,0.00006998475,0.00008822609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001461703,"about_ca_system_score_gemma":0.000006063841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008618802,"about_ca_topic_score_gemma":0.00009273059,"domain_scores_codex":[0.9995579,0.00001446415,0.00009804679,0.000141073,0.00007674206,0.0001118156],"domain_scores_gemma":[0.9993623,0.00001181103,0.00009598456,0.0004666612,0.00002953671,0.00003363982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001154644,0.0001218942,0.02732875,9.659707e-7,0.00008896975,5.80784e-7,0.0000151717,0.00008954891,0.00143911,0.01892312,0.003261534,0.9487188],"study_design_scores_gemma":[0.001295335,0.0005114002,0.1348635,0.00008952802,0.000189839,7.242493e-7,0.0001987571,0.09168565,0.6047335,0.09681079,0.06851615,0.00110487],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6816791,0.000002468995,0.1120556,0.0001886014,0.00009669557,0.0001527522,0.000004563064,0.0001648379,0.2056553],"genre_scores_gemma":[0.9979144,4.996254e-7,0.0001582636,0.000014737,0.0002194115,0.00001404623,0.000009760135,0.000007191627,0.001661676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.947614,"threshold_uncertainty_score":0.9874559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563179368617053,"score_gpt":0.3044668488642134,"score_spread":0.2888350551780429,"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."}}