{"id":"W4232315519","doi":"10.22215/etd/2014-10313","title":"Sensitivity Analysis of Two Solar Combisystems Using Newly Developed Hot Water Draw Profiles","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sensitivity (control systems); Solar energy; Environmental science; Water heating; Magnitude (astronomy); Solar water heating; Energy performance; Environmental engineering; Energy (signal processing); Engineering; Waste management; Mathematics; Statistics; Physics; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007681384,0.0005645969,0.0004312638,0.0003257978,0.0003976113,0.0007082107,0.0005225562,0.0006978416,0.001627682],"category_scores_gemma":[0.001820017,0.0003003969,0.0005354862,0.0003148672,0.0004310657,0.0005587187,0.0004594469,0.0005441661,0.00009783651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202739,"about_ca_system_score_gemma":0.0005504579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03443265,"about_ca_topic_score_gemma":0.03796885,"domain_scores_codex":[0.999656,0.00008883926,0.000009385752,0.00005277742,0.0001227386,0.00007025291],"domain_scores_gemma":[0.9989698,0.0007647293,0.00004791893,0.00004679612,0.0001463422,0.00002449334],"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":[0.0007324602,0.0001286496,0.006182872,0.0001433447,0.00006503943,0.0002701773,0.00006764288,0.9536076,0.02940092,0.001227543,0.0005690859,0.007604648],"study_design_scores_gemma":[0.00005907922,0.0004652778,0.008712586,0.00000910568,0.00005985674,0.00003276787,0.0001447221,0.9619467,0.02741433,0.000400951,0.0007248623,0.00002977199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822431,0.0001033222,0.01123204,0.0001190454,0.00001602616,0.000061591,0.000385831,0.00007372082,0.005765295],"genre_scores_gemma":[0.9980306,0.00002633929,0.001019071,0.000009382386,0.000001027162,0.00001230984,0.00006174295,0.000005847196,0.0008336459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03443265,"threshold_uncertainty_score":0.06846446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203667654606579,"score_gpt":0.2380958818214134,"score_spread":0.2260592052753476,"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."}}