{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00149563,0.001169713,0.001056195,0.005479734,0.0007134111,0.001488183,0.001161657,0.0009109735,0.001475043],"category_scores_gemma":[0.008768981,0.0003602847,0.0006542865,0.004858061,0.0003354803,0.003252524,0.001132691,0.0006569921,0.002411015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005322202,"about_ca_system_score_gemma":0.00067372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003775695,"about_ca_topic_score_gemma":0.009045766,"domain_scores_codex":[0.9986557,0.0003268344,0.00014355,0.0004370176,0.0003153395,0.0001214916],"domain_scores_gemma":[0.9959324,0.002291297,0.0005345409,0.0003733505,0.0006679767,0.0002005609],"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":[0.00211956,0.0005666763,0.1015478,0.002131108,0.0005231259,0.0007902599,0.002839671,0.02213327,0.07295185,0.006237656,0.05478885,0.7333702],"study_design_scores_gemma":[0.0002432138,0.0007261925,0.04193562,0.0002263057,0.0004855129,0.001492083,0.002738993,0.7754795,0.05950454,0.03091717,0.08603507,0.0002158382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3316696,0.01252535,0.5840153,0.002409802,0.0006995518,0.001095624,0.03850774,0.0167209,0.01235606],"genre_scores_gemma":[0.7213557,0.002112453,0.2406161,0.0006273567,0.0007726004,0.0008107485,0.02684624,0.0005587033,0.006300178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005479734,"threshold_uncertainty_score":0.007909715,"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."}}