{"id":"W6976923145","doi":"10.6084/m9.figshare.13323899","title":"Additional file 1 of Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average models","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Exponential smoothing; Autoregressive integrated moving average; Autoregressive model; Series (stratigraphy); Time series; Artificial neural network; Exponential function","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003058946,0.0001277004,0.0004074016,0.00009473576,0.00008794198,0.00003310136,0.0001120383,0.0000454745,0.4019526],"category_scores_gemma":[0.0001660511,0.0001205312,0.000166195,0.0004128535,0.00005575026,0.0003626299,0.00009558584,0.0001112767,0.000003464442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001626734,"about_ca_system_score_gemma":0.00007946931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004779264,"about_ca_topic_score_gemma":0.00001607029,"domain_scores_codex":[0.9989612,0.00009509033,0.0003714488,0.0002273523,0.0001920569,0.0001528584],"domain_scores_gemma":[0.9983925,0.0007312839,0.0003034812,0.0001104628,0.0003848578,0.00007740431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001639229,0.00005774407,0.00008094442,0.00003045289,0.0008789352,6.113023e-7,0.0009065652,0.8530139,0.0008356373,0.0001114387,0.1438521,0.00006770117],"study_design_scores_gemma":[0.0001530031,0.00009047592,0.001764522,0.0002491923,0.0000782217,6.253628e-8,0.0008241634,0.9940153,0.002555234,0.00003413929,0.0001578342,0.00007782034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09136712,0.000006816548,0.001961441,0.00001118043,0.000008609135,0.0001962855,0.9063745,0.00001221153,0.00006183544],"genre_scores_gemma":[0.5997234,7.80872e-8,0.0001633535,0.000001454781,0.00004477074,0.0001628941,0.399877,0.000005306963,0.00002176957],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5083563,"threshold_uncertainty_score":0.5985941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05969205931038266,"score_gpt":0.301764686559494,"score_spread":0.2420726272491114,"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."}}