{"id":"W3022935980","doi":"10.3992/1943-4618.15.1.185","title":"MOHAWK COLLEGE'S NET ZERO ENERGY AND ZERO CARBON BUILDING—A LIVING LAB FOR HIGH EFFICIENCY AND RENEWABLE ENERGY TECHNOLOGIES IN BUILDINGS","year":2020,"lang":"en","type":"article","venue":"Journal of Green Building","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zero-energy building; Renewable energy; Greenhouse gas; Architectural engineering; Efficient energy use; Energy engineering; Zero emission; General partnership; Engineering; Environmental economics; Environmental science; Civil engineering; Business; Waste management; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003683749,0.0003019941,0.0005339735,0.0004633674,0.0001264321,0.00008287916,0.0003127324,0.0002562282,0.00000227302],"category_scores_gemma":[0.0001788143,0.0003017256,0.00007045052,0.0006376045,0.00007184665,0.0003600489,0.0001656833,0.0002342849,1.360863e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072246,"about_ca_system_score_gemma":0.00003852758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007235653,"about_ca_topic_score_gemma":0.0001180204,"domain_scores_codex":[0.9983702,0.00003273779,0.0006385897,0.0002975178,0.0002344495,0.0004264941],"domain_scores_gemma":[0.9991193,0.0002568821,0.0002540597,0.000141726,0.00009553808,0.000132515],"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":[0.00008289899,0.00003351166,0.002108291,0.0001780768,0.00009615578,0.00003898838,0.0002416736,0.9403843,0.02280548,0.01837902,0.0008899719,0.01476167],"study_design_scores_gemma":[0.001898998,0.0006914542,0.000173459,0.000964177,0.0001226906,0.0002163852,0.0003365335,0.9277541,0.04300937,0.01631963,0.007664728,0.0008484737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5271301,0.005107028,0.4664257,0.0006404317,0.0002853757,0.00008613353,0.000008003736,0.0002283928,0.00008887334],"genre_scores_gemma":[0.963851,0.001597837,0.03419575,0.0001016091,0.0001380013,0.00001256661,0.000001137742,0.00006395669,0.00003814656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4367209,"threshold_uncertainty_score":0.9999435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006898699402057115,"score_gpt":0.1901768291086105,"score_spread":0.1832781297065534,"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."}}