{"id":"W1503325595","doi":"10.1002/9783433604625.ch07","title":"Net ZEB case studies","year":2015,"lang":"en","type":"other","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Concordia University","funders":"","keywords":"Net (polyhedron); Occupancy; Zero-energy building; Process (computing); Computer science; Net energy; Energy (signal processing); Architectural engineering; Design process; Engineering; Work in process; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008364533,0.000420511,0.0002335944,0.001032381,0.001983996,0.002249732,0.001664942,0.001225202,0.0180252],"category_scores_gemma":[0.001677168,0.0001851572,0.0003574503,0.002132433,0.001036779,0.001256438,0.001926171,0.0007053273,0.001759984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984377,"about_ca_system_score_gemma":0.0009299975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008793578,"about_ca_topic_score_gemma":0.02959729,"domain_scores_codex":[0.9989196,0.0004006285,0.00003754452,0.00007349691,0.0004019036,0.0001668516],"domain_scores_gemma":[0.999265,0.0003422201,0.00005150686,0.00009172751,0.0001458418,0.0001038221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001304956,0.001576236,0.03165426,0.002073961,0.00009803693,0.02571106,0.009391383,0.1531486,0.006539262,0.4456104,0.08867058,0.2342213],"study_design_scores_gemma":[0.0001398606,0.0004593354,0.009393024,0.0004908353,0.0000366255,0.005189607,0.02073792,0.03570252,0.006813223,0.03089668,0.8900613,0.00007909093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4478383,0.001884618,0.04633467,0.001860683,0.0001678937,0.0008644226,0.002821802,0.0002477721,0.4979799],"genre_scores_gemma":[0.8484758,0.002696893,0.03289787,0.0003169858,0.00002688404,0.0006327666,0.002573039,0.0001293027,0.1122504],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0180252,"threshold_uncertainty_score":0.06030029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061696804468824,"score_gpt":0.243901805076341,"score_spread":0.2232848370316527,"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."}}