{"id":"W2826552311","doi":"","title":"Real-time Change Point Detection using On-line Topic Models.","year":2018,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent Dirichlet allocation; Change detection; Line (geometry); Computer science; Point (geometry); Bayesian probability; Social media; Topic model; Data mining; Artificial intelligence; Mathematics; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001467185,0.0001054978,0.0001307302,0.0001457637,0.0001147714,0.00004358134,0.0003628736,0.00005244607,0.00005096141],"category_scores_gemma":[0.00001424894,0.00009842918,0.00005320694,0.0003452149,0.00004119909,0.0005756358,0.0001513545,0.00007685091,0.00007665023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009906651,"about_ca_system_score_gemma":0.00001217976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005157409,"about_ca_topic_score_gemma":0.00001633309,"domain_scores_codex":[0.9991158,0.0000341603,0.0001420631,0.000313619,0.0001918154,0.0002025224],"domain_scores_gemma":[0.9991983,0.00002038547,0.00007249675,0.0005572808,0.00009911207,0.00005238585],"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":[0.00001456458,0.00008526596,0.00001410276,0.00000715243,0.00002280677,0.0000122517,0.0007919516,0.0002514352,0.4737149,0.03707502,0.0001614665,0.4878491],"study_design_scores_gemma":[0.00006363783,0.000162659,0.00003319182,0.00001419221,0.000005140056,0.000004946262,0.0000018599,0.7622749,0.1210196,0.1161329,0.0001814208,0.0001054977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05644544,0.000003662443,0.9311918,0.0002889606,0.00008682533,0.00011399,4.522008e-7,0.0004585366,0.01141034],"genre_scores_gemma":[0.757795,0.00001117786,0.241539,0.0001993419,0.0002621571,0.0000120698,5.136837e-7,0.000008518224,0.0001722706],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7620235,"threshold_uncertainty_score":0.4013825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07014499979451327,"score_gpt":0.3155533811076374,"score_spread":0.2454083813131241,"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."}}