{"id":"W600165676","doi":"10.1007/978-3-319-18038-0_16","title":"Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Categorical variable; Multivariate statistics; Univariate; Computer science; Classifier (UML); Series (stratigraphy); Time series; Data mining; Multivariate analysis; Artificial intelligence; Machine learning","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":[0.004299872,0.0009098172,0.00147647,0.002018019,0.0005196802,0.001937973,0.001736713,0.001455283,0.00211315],"category_scores_gemma":[0.01756199,0.0004484284,0.0009085092,0.001899559,0.0008472786,0.003277932,0.001580205,0.002702246,0.001525977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006797671,"about_ca_system_score_gemma":0.0006495382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142762,"about_ca_topic_score_gemma":0.001252223,"domain_scores_codex":[0.9981601,0.0005614221,0.0001481851,0.0003188153,0.0006085047,0.0002030915],"domain_scores_gemma":[0.9821073,0.01149016,0.001077031,0.002150409,0.002796497,0.0003786125],"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":[0.0009364611,0.0002227746,0.009629739,0.0003181148,0.00009833313,0.0002428691,0.0002636925,0.1081081,0.01332065,0.04384746,0.01167238,0.8113395],"study_design_scores_gemma":[0.00000954213,0.00007604555,0.002293108,0.00003130046,0.00002086173,0.00008438044,0.00004260699,0.9461724,0.004174176,0.04549029,0.001583779,0.00002150254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04817231,0.001251298,0.9468704,0.0005737822,0.0001793528,0.00003157705,0.0002729071,0.0008321701,0.001816155],"genre_scores_gemma":[0.6975119,0.001568772,0.2862599,0.0002144029,0.000916518,0.0001245341,0.00172473,0.0002228275,0.0114564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004299872,"threshold_uncertainty_score":0.02274019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880860661765313,"score_gpt":0.234758008294696,"score_spread":0.2059494016770428,"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."}}