{"id":"W2280515390","doi":"10.1109/icdmw.2015.214","title":"Temporal Topic Inference for Trend Prediction","year":2015,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Predictability; Inference; Social media; Leverage (statistics); Vocabulary; Microblogging; Machine learning; Artificial intelligence; Hidden Markov model; Novelty; Topic model; Crowds; Data mining; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00254427,0.001196746,0.001059713,0.004946317,0.0008983155,0.001392969,0.001581672,0.001069816,0.003178582],"category_scores_gemma":[0.00897596,0.00060091,0.001819878,0.004069405,0.0004564444,0.002868805,0.001318604,0.002075943,0.001369445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062548,"about_ca_system_score_gemma":0.001277696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01657276,"about_ca_topic_score_gemma":0.01733896,"domain_scores_codex":[0.9986871,0.0003025836,0.0001107159,0.0005296083,0.000212558,0.0001574991],"domain_scores_gemma":[0.9954811,0.002855933,0.0005040452,0.0004871174,0.0005266063,0.0001451813],"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":[0.0007046986,0.000507231,0.0844292,0.0006288132,0.0005514201,0.0005169197,0.0008604683,0.2750977,0.005538084,0.03360507,0.02371878,0.5738418],"study_design_scores_gemma":[0.00001234557,0.00003194717,0.003426663,0.00003171313,0.00004428299,0.00006579804,0.00007463807,0.9775509,0.0007151839,0.01485932,0.003171848,0.00001541224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0834155,0.003571436,0.8978975,0.001057931,0.0002568478,0.0001911645,0.006401653,0.003376827,0.003831152],"genre_scores_gemma":[0.8212407,0.002101088,0.1524103,0.0002150154,0.0008330154,0.0003689914,0.01730815,0.00027749,0.005245216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01657276,"threshold_uncertainty_score":0.03295255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04537308041112825,"score_gpt":0.3168395138004439,"score_spread":0.2714664333893156,"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."}}