{"id":"W4391428978","doi":"10.1109/pcic43643.2023.10414336","title":"A Comprehensive Time Series Forecasting for Motor Winding Temperatures","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Series (stratigraphy); Time series; Computer science; Environmental science; Geology; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.00003350386,0.0001132439,0.0001651979,0.00006512166,0.00009355807,0.00003667549,0.00005730029,0.0000378349,0.00001756807],"category_scores_gemma":[0.00002301929,0.000101125,0.00006109295,0.000137546,0.000009480246,0.0001266158,0.00001147299,0.00005127713,0.00008804115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001950957,"about_ca_system_score_gemma":0.000002923933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001884936,"about_ca_topic_score_gemma":0.000001923883,"domain_scores_codex":[0.9994334,0.000005726199,0.0001330927,0.0001092024,0.00006700198,0.0002515716],"domain_scores_gemma":[0.9996906,0.0001274253,0.00001210531,0.0000925231,0.00003819796,0.00003916324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006342947,0.00000424556,0.00016619,0.0003860053,0.0001507916,0.00002715486,0.0006061635,0.07701203,0.9026477,0.001342689,0.01479788,0.002795747],"study_design_scores_gemma":[0.0009073554,0.0001048573,0.0004634721,0.00007731096,0.00001746977,0.00004329607,0.001092448,0.9161124,0.01373831,0.0007854136,0.06617955,0.0004781473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376755,0.0007481262,0.03064688,0.0002340728,0.002044746,0.002206993,0.000207089,0.008127107,0.01810946],"genre_scores_gemma":[0.9886114,0.000006171454,0.002122096,0.00003181332,0.0003023984,0.00007703541,0.00002723525,0.00005053105,0.008771326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8889093,"threshold_uncertainty_score":0.4123759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029957901699001,"score_gpt":0.2234140010982123,"score_spread":0.2031144220812223,"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."}}