{"id":"W4319587066","doi":"10.1109/icdmw58026.2022.00144","title":"Active Keyword Selection to Track Evolving Topics on Twitter","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Computer science; Leverage (statistics); Information retrieval; Social media; Selection (genetic algorithm); World Wide Web; Data science; Relevance (law); Topic model; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003465781,0.0002620415,0.0002580711,0.0003155843,0.0003566669,0.0002334931,0.001572653,0.00003708716,0.01878019],"category_scores_gemma":[0.0000389701,0.0002935463,0.0001012022,0.0004900668,0.00002655842,0.0002809532,0.000727815,0.0006858669,0.00007685934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596577,"about_ca_system_score_gemma":0.00009284055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000112532,"about_ca_topic_score_gemma":0.00004947818,"domain_scores_codex":[0.997641,0.0001446513,0.0003669778,0.0008095254,0.0007168276,0.000321032],"domain_scores_gemma":[0.9986063,0.0001769764,0.0002135273,0.0007478385,0.0001564589,0.00009892914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004715009,0.0006945496,0.01198323,0.000004421833,0.0006993281,0.00001612763,0.001747275,0.007901585,0.001384069,0.02327225,0.4411512,0.5106745],"study_design_scores_gemma":[0.001506708,0.001086331,0.01651201,0.0003398042,0.0002347427,0.00001351024,0.006825399,0.6170413,0.003619511,0.007105956,0.3435203,0.002194358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7445323,0.00002278448,0.0585302,0.01326555,0.004634731,0.001301191,0.002072017,0.0005942417,0.175047],"genre_scores_gemma":[0.9876631,0.000002928498,0.002379852,0.0008019102,0.001132414,0.0001914423,0.001430924,0.00003351605,0.006363906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6091397,"threshold_uncertainty_score":0.9999517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114280160644088,"score_gpt":0.3605302932443809,"score_spread":0.2462501326002929,"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."}}