{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006396982,0.0004587545,0.0005677832,0.0003953594,0.0002956978,0.0007005861,0.001248435,0.0002347648,0.00001593954],"category_scores_gemma":[0.00007662515,0.0003411054,0.00006386328,0.0006831462,0.0005276648,0.0007888562,0.0006556932,0.0005966009,0.00007155181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220069,"about_ca_system_score_gemma":0.0002946829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006853259,"about_ca_topic_score_gemma":0.00001167049,"domain_scores_codex":[0.9967698,0.00003122526,0.0003989636,0.001381305,0.000887093,0.0005316174],"domain_scores_gemma":[0.9979863,0.0002295146,0.0002959464,0.0008940358,0.0003546857,0.0002395747],"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":[0.000191231,0.0001528869,0.0008509415,0.00006482992,0.0001080009,0.0003036027,0.002348186,0.07863678,0.0004603814,0.1968229,0.0003162025,0.7197441],"study_design_scores_gemma":[0.0003547415,0.001205913,0.001319751,0.0001979848,0.00002439274,0.0001297407,4.512139e-7,0.9410887,0.0002327031,0.05132889,0.003296265,0.0008204969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001826668,0.0001808209,0.9955219,0.001227113,0.0002192515,0.0002079819,0.000004237755,0.0001318175,0.00232419],"genre_scores_gemma":[0.4334699,0.00002615748,0.5622476,0.0004882076,0.000534108,0.00001686308,0.00002269156,0.00007271943,0.003121811],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8624519,"threshold_uncertainty_score":0.9999041,"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."}}