{"id":"W6977305497","doi":"10.6084/m9.figshare.14033699","title":"Additional file 1 of Ensemble bootstrap methodology for forecasting dynamic growth processes using differential equations: application to epidemic outbreaks","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ensemble forecasting; Ensemble learning; Population; Ensemble average; Interval (graph theory); Prediction interval; Stochastic modelling","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002401281,0.001263177,0.001105288,0.001705047,0.0005285544,0.001155628,0.002581751,0.001450338,0.7430061],"category_scores_gemma":[0.02689997,0.0006493027,0.0008171012,0.002909033,0.000213889,0.001689141,0.0009710538,0.001264514,0.109644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005546242,"about_ca_system_score_gemma":0.001233723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006263539,"about_ca_topic_score_gemma":0.01070104,"domain_scores_codex":[0.999486,0.0001393414,0.00008607186,0.0001051705,0.0001303515,0.00005308973],"domain_scores_gemma":[0.985988,0.0114831,0.0004061407,0.0006812915,0.001282894,0.0001586813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003726364,0.0001829112,0.002651578,0.002052388,0.0001021411,0.0001979063,0.00007082611,0.01639612,0.0003356081,0.002749822,0.9429421,0.03194597],"study_design_scores_gemma":[0.00690492,0.0005858075,0.0164255,0.002096863,0.0002302515,0.0006630578,0.0004069245,0.292342,0.003751176,0.03736623,0.6388962,0.0003311066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001138839,0.00006253931,0.008788375,0.0002462858,0.00008519268,0.0002148001,0.9846176,0.003427659,0.001418651],"genre_scores_gemma":[0.03884282,0.0003382243,0.06146815,0.0005213797,0.0002709384,0.003872792,0.8796436,0.005013259,0.01002897],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7430061,"threshold_uncertainty_score":0.3665706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2766118000851014,"score_gpt":0.4141077957086466,"score_spread":0.1374959956235451,"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."}}