{"id":"W2771098580","doi":"10.1111/jtsa.12280","title":"Editorial, January 2018","year":2017,"lang":"en","type":"article","venue":"Journal of Time Series Analysis","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Editorial board; Audience measurement; Nonparametric statistics; Econometrics; Library science; Mathematics; Computer science; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005693026,0.00289464,0.002437885,0.003700224,0.002651213,0.01305502,0.003161517,0.007512114,0.180179],"category_scores_gemma":[0.03524929,0.0009374857,0.002365348,0.001666643,0.001622793,0.00452636,0.002353609,0.01093719,0.156535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003078711,"about_ca_system_score_gemma":0.004404713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030294,"about_ca_topic_score_gemma":0.002003155,"domain_scores_codex":[0.9928026,0.0008549734,0.0009878605,0.00128796,0.003403972,0.0006626403],"domain_scores_gemma":[0.9757176,0.003606244,0.0018338,0.001328886,0.01372723,0.003786283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004580211,0.0000180528,0.00004171563,0.0001906731,0.000007691194,0.00007123609,0.000009681878,0.00001700294,0.00006195293,0.0003930638,0.9850309,0.0141123],"study_design_scores_gemma":[0.00002360614,0.00002161512,0.0001881097,0.0002248604,0.000007298225,0.0000812445,0.00002331996,0.00003927649,0.000055299,0.0002981981,0.9990293,0.00000778019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006533042,0.00283529,0.0001841178,0.01718946,0.9669644,0.0000572317,0.000235113,0.0002145668,0.01225442],"genre_scores_gemma":[0.001112355,0.006453673,0.000379172,0.02521081,0.8361554,0.000143915,0.0006089558,0.0002836381,0.1296521],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.180179,"threshold_uncertainty_score":0.6027586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05976159058930415,"score_gpt":0.3877744663193208,"score_spread":0.3280128757300167,"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."}}