{"id":"W2921192374","doi":"10.1002/est2.47","title":"Better thermal management options with heat storage systems for various applications: An Evaluation","year":2019,"lang":"en","type":"article","venue":"Energy Storage","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Energy management; Management system; Efficient energy use; Environmental economics; Environmental science; Computer science; Process engineering; Risk analysis (engineering); Engineering; Business; Energy (signal processing); Operations management","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":[0.0001471207,0.0001312329,0.0001126017,0.0001279363,0.0001116574,0.00009651243,0.0001414319,0.00007295736,0.00005326613],"category_scores_gemma":[0.000001341327,0.0001170226,0.00002822793,0.0001312027,0.00001832105,0.0002297047,0.0000133355,0.00006221875,0.0000290224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001285397,"about_ca_system_score_gemma":0.00001061327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001021751,"about_ca_topic_score_gemma":0.000007943619,"domain_scores_codex":[0.9992968,0.00002708136,0.0001279288,0.0002053975,0.0001849374,0.0001577876],"domain_scores_gemma":[0.9994585,0.0000181105,0.00002528078,0.0004042561,0.00006206118,0.00003178376],"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":[0.000004621684,0.00002402227,0.00002840736,0.00004091989,0.00006082358,0.000001180834,0.0000394144,0.9542694,0.001252557,0.03901391,0.0008186204,0.004446116],"study_design_scores_gemma":[0.0007990049,0.0001281553,0.0007405508,0.00003817483,0.00005738792,0.000005421161,0.0002394844,0.8560086,0.0006478313,0.0005075097,0.1404945,0.000333372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1774693,0.0007454301,0.8123744,0.0001685056,0.0003910314,0.001264394,0.00002877913,0.001278084,0.006280142],"genre_scores_gemma":[0.9919263,0.00003338174,0.004030766,0.0000604284,0.00009551126,0.002481783,0.0002747746,0.00003821052,0.001058852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.814457,"threshold_uncertainty_score":0.4772041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009388785911948243,"score_gpt":0.218269089445866,"score_spread":0.2088803035339177,"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."}}