{"id":"W4406671161","doi":"10.1016/b978-0-08-057435-6.50006-1","title":"10.1016/b978-0-08-057435-6.50006-1","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001080665,0.002154719,0.001536983,0.002168159,0.001216907,0.00493794,0.003037578,0.004534556,0.981261],"category_scores_gemma":[0.002025496,0.0008034138,0.0008797399,0.002455906,0.001184788,0.005008459,0.002828764,0.002216949,0.990404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009889163,"about_ca_system_score_gemma":0.0007944854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002596568,"about_ca_topic_score_gemma":0.002291605,"domain_scores_codex":[0.99945,0.00004126971,0.00003592811,0.0001874864,0.000186936,0.00009829775],"domain_scores_gemma":[0.9982011,0.0005913257,0.0001419926,0.0002816067,0.0003400951,0.0004438753],"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":[0.0001275067,0.000111557,0.0003721042,0.0003778338,0.00001649722,0.0001064256,0.00007018433,0.0004348999,0.002004356,0.007003968,0.3265966,0.6627782],"study_design_scores_gemma":[0.00001915947,0.0000498417,0.0005028978,0.0002789077,0.000009177749,0.0001940303,0.00006603198,0.0002273258,0.00036927,0.001628308,0.9966408,0.0000141976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002449894,0.000553732,0.00177695,0.0004160599,0.0001958731,0.00005525902,0.001057353,0.001421179,0.9942784],"genre_scores_gemma":[0.000731811,0.000316276,0.0006473385,0.0001317615,0.00004576852,0.00004261378,0.0006219358,0.0003395748,0.9971228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01873899,"threshold_uncertainty_score":0.02672881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00976146850944291,"score_gpt":0.1662354487126695,"score_spread":0.1564739802032266,"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."}}