{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004295374,0.0006965535,0.0004853196,0.0006486261,0.00018415,0.0004400329,0.0004106205,0.0005458884,0.0004996086],"category_scores_gemma":[0.001679624,0.0002130543,0.0004908908,0.0007678358,0.0001120937,0.0007517511,0.0002004751,0.0006537171,0.000244647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816299,"about_ca_system_score_gemma":0.0003912475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140487,"about_ca_topic_score_gemma":0.008485444,"domain_scores_codex":[0.999856,0.00002045812,0.00001008222,0.00005394368,0.00004307772,0.00001647722],"domain_scores_gemma":[0.9996306,0.0001380882,0.00005116872,0.0000586978,0.0001009052,0.00002059838],"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":[0.0000872856,0.0000737718,0.006218634,0.00004232506,0.00004116213,0.00006692585,0.00002202867,0.9457883,0.003246972,0.0005633404,0.001426548,0.04242278],"study_design_scores_gemma":[8.737741e-7,0.000009679793,0.001274742,0.000001425873,0.000003747449,0.000003801254,0.000003542064,0.9978502,0.0005993638,0.0001233868,0.000127019,0.000002262334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7535802,0.0006712622,0.2385272,0.0003927764,0.0001570937,0.00004974508,0.002297695,0.00170744,0.002616589],"genre_scores_gemma":[0.9844651,0.0002321851,0.01276344,0.00001102865,0.00002607689,0.00002062874,0.001691395,0.00002985303,0.0007603525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140487,"threshold_uncertainty_score":0.022677,"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."}}