{"id":"W2981973880","doi":"10.1088/1757-899x/609/6/062001","title":"Monitoring and Evaluation of Nearly-Zero Energy House (NZEH) with Hybrid HVAC for Cold Climate – Canada","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victoria Park","funders":"","keywords":"Thermostat; HVAC; Controller (irrigation); Schedule; Hybrid system; Automotive engineering; Indoor air quality; Renewable energy; Environmental science; Electric heating; Engineering; Computer science; Air conditioning; Electrical engineering; Mechanical engineering; Environmental engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004055771,0.0004458302,0.0003622382,0.00037714,0.0007374212,0.0005081025,0.0007920567,0.0002896677,0.0008572405],"category_scores_gemma":[0.0003356716,0.0001768331,0.0002348414,0.0004402222,0.0003932487,0.0002437301,0.0002921002,0.0002143604,0.0001185384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005195215,"about_ca_system_score_gemma":0.002351489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6973283,"about_ca_topic_score_gemma":0.7868629,"domain_scores_codex":[0.9996297,0.00003600489,0.000009153344,0.00007155853,0.000179984,0.00007357539],"domain_scores_gemma":[0.9995553,0.00004300903,0.00002354171,0.0000286485,0.0003017451,0.00004776956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003848836,0.001384681,0.2731775,0.0005552983,0.0002639544,0.001643781,0.001325822,0.3294952,0.2852408,0.001237561,0.004081679,0.09774482],"study_design_scores_gemma":[0.0001581983,0.001882742,0.3270895,0.00002923,0.0001638439,0.0002069041,0.002380817,0.5376806,0.1247533,0.0001874197,0.005361551,0.0001059152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967278,0.00003247407,0.001788878,0.0000144743,0.000003235442,0.00005325212,0.0003217102,0.0001036698,0.0009545216],"genre_scores_gemma":[0.9984504,0.00001404593,0.0009040433,0.000003673802,3.407032e-7,0.000007497566,0.0001658163,0.000004508596,0.0004495068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3026717,"threshold_uncertainty_score":0.6089083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009601932375437685,"score_gpt":0.1891694319991133,"score_spread":0.1795674996236756,"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."}}