{"id":"W2034148711","doi":"10.1109/ijcnn.2013.6707027","title":"Online news topic detection and tracking via localized feature selection","year":2013,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Feature selection; Cluster analysis; Flexibility (engineering); Context (archaeology); The Internet; Social media; Feature (linguistics); Selection (genetic algorithm); Representation (politics); Data science; Topic model; Feature extraction; Tracking (education); Word (group theory); Artificial intelligence; Quality (philosophy); Data mining; Machine learning; World Wide Web","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":[0.001607941,0.0008634741,0.00143551,0.002666225,0.0004974391,0.001092908,0.001336655,0.0008287877,0.0008592649],"category_scores_gemma":[0.004650062,0.0004785417,0.0009352415,0.002423894,0.0003932716,0.001616322,0.001164169,0.0008054037,0.001151765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003304607,"about_ca_system_score_gemma":0.0005454357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00304197,"about_ca_topic_score_gemma":0.003816918,"domain_scores_codex":[0.9988944,0.0003140914,0.00006299381,0.0003417125,0.0002705185,0.0001163033],"domain_scores_gemma":[0.9973443,0.001513586,0.0002929538,0.0003203567,0.0004237922,0.0001050344],"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":[0.0007620977,0.0005215102,0.01140819,0.0001584028,0.0002395237,0.0003608477,0.0003245835,0.08583144,0.03610635,0.003212243,0.007344782,0.85373],"study_design_scores_gemma":[0.00004107006,0.00009641727,0.003289056,0.00000601688,0.00005248639,0.0001426006,0.00005644032,0.9839464,0.00796041,0.0031777,0.001209728,0.00002167801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05932991,0.0004677622,0.9371158,0.0001519701,0.00003989953,0.00006878246,0.0003038433,0.001922116,0.0005998939],"genre_scores_gemma":[0.6277008,0.0004574821,0.3662443,0.0001273671,0.0003388807,0.0002217321,0.002389738,0.0001401824,0.002379479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00304197,"threshold_uncertainty_score":0.008503675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124015395231547,"score_gpt":0.2308221349626473,"score_spread":0.2195819810103318,"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."}}