{"id":"W2313271951","doi":"10.1016/j.enbuild.2016.04.002","title":"Development and implementation of control-oriented models for terminal heating and cooling units","year":2016,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Else Kröner-Fresenius-Stiftung","keywords":"Terminal (telecommunication); Control (management); Engineering; Environmental science; Computer science; Nuclear engineering; Mechanical engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007353829,0.0008354385,0.0007331162,0.0003611787,0.0004624883,0.001198272,0.002154976,0.0009793745,0.004408629],"category_scores_gemma":[0.001787441,0.0005910802,0.0008700826,0.0003277511,0.0003240454,0.0008121963,0.0004986732,0.001377957,0.001038178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009375549,"about_ca_system_score_gemma":0.001904402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01666087,"about_ca_topic_score_gemma":0.01236575,"domain_scores_codex":[0.9996611,0.00007818976,0.00002061754,0.00004474846,0.0001515881,0.00004375979],"domain_scores_gemma":[0.9993294,0.0002126114,0.00005815914,0.0000938398,0.000272995,0.00003290432],"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":[0.00002195832,0.00004260419,0.0002878191,0.00004531354,0.00001156883,0.00002218214,0.0000212845,0.9823925,0.001188482,0.004809928,0.0004987311,0.01065766],"study_design_scores_gemma":[0.000007059816,0.000008020827,0.00004349089,0.000004016968,0.000004336587,0.000003325541,0.000003118984,0.996991,0.001049259,0.0007250714,0.001158189,0.000003067307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01468942,0.00009953301,0.9726167,0.0001356453,0.00009784255,0.0001687616,0.0003193591,0.00189164,0.009981092],"genre_scores_gemma":[0.5920768,0.0003286115,0.3962694,0.0001211061,0.00004021951,0.0006593082,0.0009011957,0.0006966369,0.008906741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01666087,"threshold_uncertainty_score":0.03312778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008998700974902935,"score_gpt":0.2132498218891487,"score_spread":0.2042511209142458,"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."}}