{"id":"W2984567531","doi":"10.3390/su11226236","title":"Sustainable Housing: Understanding the Barriers to Adopting Net Zero Energy Homes in Ontario, Canada","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Zero-energy building; Greenhouse gas; Quality (philosophy); Zero emission; Net energy; Energy (signal processing); Environmental economics; Business; Efficient energy use; Zero-point energy; Safety net; Marketing; Engineering; Economics; Mathematics; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003522012,0.0001709586,0.000179453,0.00009525997,0.0001794639,0.0000682671,0.0002138132,0.00007719045,0.0001227653],"category_scores_gemma":[0.0001699066,0.0001538903,0.00003534937,0.0004778276,0.00002651983,0.0001753313,0.00008584976,0.0002279276,1.913027e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01154735,"about_ca_system_score_gemma":0.002026141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.919172,"about_ca_topic_score_gemma":0.9705825,"domain_scores_codex":[0.9987068,0.00004647274,0.000222843,0.0002402929,0.0001889157,0.0005947303],"domain_scores_gemma":[0.9992557,0.00008698075,0.00002626577,0.0003748824,0.0001115348,0.0001446803],"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":[0.0000153782,0.000004157961,0.04484611,0.00006520761,0.00001046823,0.00001193156,0.000757846,0.9199587,0.000002527819,0.03358866,0.000603475,0.0001355058],"study_design_scores_gemma":[0.00264033,0.000283867,0.05887579,0.000200615,0.00007434525,0.00001583223,0.1952984,0.4066494,0.000800764,0.1310834,0.200812,0.003265274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671385,0.00006476876,0.02893346,0.0005012493,0.0003508291,0.0003441354,0.000001049918,0.0001388207,0.002527156],"genre_scores_gemma":[0.9977831,0.00000203236,0.0001334491,0.0002050905,0.00001469329,0.00003074792,0.000005643804,0.00002811844,0.001797142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5133094,"threshold_uncertainty_score":0.9922472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005327822541374134,"score_gpt":0.1771854521781113,"score_spread":0.1718576296367371,"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."}}