{"id":"W1639913026","doi":"10.1115/1.4031018","title":"A Self-Adjusting Method for Real-Time Calculation of Thermal Loads in HVAC-R Applications","year":2015,"lang":"en","type":"article","venue":"Journal of Thermal Science and Engineering Applications","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"HVAC; Air conditioning; Refrigeration; Cooling load; Thermal; Energy balance; Computer science; Thermal comfort; Environmental science; Nuclear engineering; Mechanical engineering; Control theory (sociology); Simulation; Thermodynamics; Engineering","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":[0.0003736178,0.0004243093,0.0003453427,0.0003218254,0.0002996497,0.0003542563,0.0006611525,0.0004172635,0.001262839],"category_scores_gemma":[0.001097309,0.0002666777,0.0003216122,0.0002610609,0.0002030898,0.0005210355,0.0003738981,0.0004548511,0.0004117988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000245671,"about_ca_system_score_gemma":0.0004837457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002515852,"about_ca_topic_score_gemma":0.002470276,"domain_scores_codex":[0.9997582,0.00005774711,0.00001197898,0.00005180141,0.0001094777,0.0000106861],"domain_scores_gemma":[0.9997111,0.000104236,0.00004276879,0.00003895992,0.00009287978,0.00001003694],"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":[0.0001598051,0.0001509683,0.002551208,0.0001834815,0.00005194602,0.0001354578,0.0002269187,0.4726565,0.1118368,0.004595506,0.002281928,0.4051694],"study_design_scores_gemma":[0.000004390189,0.00002076461,0.0002840811,0.000002759352,0.000003603008,0.00002140341,0.000005141062,0.9927106,0.005671872,0.0002074176,0.001058683,0.000009254945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01483453,0.00009255173,0.9829484,0.00003160301,0.00002979357,0.00003273628,0.00001662513,0.000888636,0.001125065],"genre_scores_gemma":[0.4854999,0.0001320647,0.5104627,0.00005423254,0.0000264825,0.0001813901,0.0000692381,0.0002290682,0.003344868],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002515852,"threshold_uncertainty_score":0.005002439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133103134655643,"score_gpt":0.2523308190737004,"score_spread":0.2409997877271439,"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."}}