{"id":"W3175229325","doi":"10.1115/1.4050887","title":"Analysis of an Integrated Thermal Energy System for Applications in Cold Regions","year":2021,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Heat pump; Coefficient of performance; Evaporator; Environmental science; Wind power; Exergy; Air source heat pumps; Electricity; Meteorology; Exergy efficiency; Turbine; Heating system; Marine engineering; Automotive engineering; Process engineering; Engineering; Heat exchanger; Mechanical engineering; Electrical engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001713898,0.0001209379,0.0004784081,0.001750871,0.00003993237,0.00001460622,0.0003374703,0.0002107782,0.000008641297],"category_scores_gemma":[0.00003785137,0.0001043619,0.0001542825,0.002636022,0.00006480961,0.00006339385,0.00003849356,0.0001608729,1.116965e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283542,"about_ca_system_score_gemma":0.00009214713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004860371,"about_ca_topic_score_gemma":0.0006559234,"domain_scores_codex":[0.9988524,0.00004325089,0.000561551,0.000130894,0.0001657093,0.0002462483],"domain_scores_gemma":[0.9990757,0.00008949289,0.000152441,0.0002743462,0.000318865,0.00008912005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001364423,0.0004048924,0.005089606,0.0001186701,0.004101727,0.0002153062,0.0002764629,0.7325532,0.1114831,0.1096857,0.0003532153,0.03558168],"study_design_scores_gemma":[0.001667015,0.0004254758,0.002300062,0.0002067549,0.0005678274,0.0001675339,0.005444213,0.06562591,0.4242201,0.0007628052,0.4981231,0.0004892002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038215,0.002317063,0.09197274,0.0001936729,0.00008045875,0.00004710066,0.00002129277,0.0001251951,0.001421005],"genre_scores_gemma":[0.9966176,0.0001336813,0.002955228,0.00001082484,0.00004223242,0.0000530003,0.00002525057,0.00001990349,0.0001422415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6669273,"threshold_uncertainty_score":0.4255757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007691949860038775,"score_gpt":0.2221261558534326,"score_spread":0.2144342059933939,"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."}}