{"id":"W4248942779","doi":"10.1007/978-1-4614-6170-8_100449","title":"Temporal Analytics","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Analytics; Computer science; Data science","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":[0.0006773333,0.001262087,0.0004721516,0.001547879,0.0005110441,0.00379116,0.001092302,0.0007168763,0.05829187],"category_scores_gemma":[0.002457956,0.0003485925,0.0005628174,0.001771741,0.0008102561,0.005181428,0.001761233,0.001623142,0.02578531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008326735,"about_ca_system_score_gemma":0.0008629608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139948,"about_ca_topic_score_gemma":0.001290016,"domain_scores_codex":[0.9995971,0.00004605042,0.00002197549,0.00009421272,0.000210262,0.00003039094],"domain_scores_gemma":[0.9993474,0.0002306657,0.00003205048,0.0001707067,0.0001788672,0.00004035487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002703309,0.00002154164,0.0001731617,0.0002035652,0.00001564625,0.00005315474,0.0001868189,0.002216552,0.001317861,0.4838733,0.1599156,0.3519958],"study_design_scores_gemma":[0.000004623157,0.00001073406,0.0001874129,0.0001442278,0.00001351956,0.0001289705,0.0001150019,0.01069673,0.001313155,0.3325989,0.6547716,0.00001512744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00205371,0.0104167,0.4242593,0.004190667,0.002463785,0.0001100469,0.002006175,0.004826235,0.5496734],"genre_scores_gemma":[0.06114388,0.02238751,0.2010957,0.001983286,0.003665988,0.0002721957,0.0061968,0.002569939,0.7006848],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05829187,"threshold_uncertainty_score":0.1950057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442417531280647,"score_gpt":0.2099095794872901,"score_spread":0.1854854041744836,"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."}}