{"id":"W4393360354","doi":"10.1007/978-981-97-1316-5_3","title":"Time Series Analysis","year":2024,"lang":"en","type":"book-chapter","venue":"Water science and technology library","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Series (stratigraphy); Computer science; Geology; Paleontology","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":[0.0009043128,0.0009727672,0.0007265855,0.001542052,0.0003857288,0.001642711,0.0007473432,0.0006294984,0.05628387],"category_scores_gemma":[0.002533911,0.0003247679,0.0007653459,0.001959001,0.0003982729,0.001326099,0.0008134119,0.0007719624,0.03979336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003909102,"about_ca_system_score_gemma":0.0005413507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279219,"about_ca_topic_score_gemma":0.001522238,"domain_scores_codex":[0.99941,0.0001071702,0.00003950999,0.0001467847,0.000272284,0.00002427505],"domain_scores_gemma":[0.9992072,0.0002779986,0.00003406673,0.0002255365,0.0002354481,0.00001969538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002453012,0.00002924057,0.0004881075,0.0002172932,0.00007110519,0.00007515221,0.0000786503,0.006181365,0.002029262,0.06564222,0.1778948,0.7472684],"study_design_scores_gemma":[0.00001387261,0.00004523431,0.002737385,0.000166118,0.00007044033,0.0003795883,0.0001248876,0.07430139,0.004209433,0.1582234,0.7596882,0.0000399828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002008565,0.006456489,0.8173112,0.001350214,0.001482648,0.000155557,0.003811601,0.008182937,0.1592407],"genre_scores_gemma":[0.05143584,0.01063905,0.4395179,0.001071733,0.001857923,0.0004853576,0.01485296,0.003252593,0.4768867],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05628387,"threshold_uncertainty_score":0.1882883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002946956281715159,"score_gpt":0.166847527781768,"score_spread":0.1639005715000529,"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."}}