{"id":"W3135861488","doi":"10.3390/buildings11030095","title":"Obstacles to Developing Net-Zero Energy (NZE) Homes in Greater Toronto Area","year":2021,"lang":"en","type":"article","venue":"Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Windsor; George Brown College","funders":"","keywords":"Government (linguistics); Greenhouse gas; Globe; Business; Architectural engineering; Engineering; Marketing; Public relations; Political science; Psychology","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":[0.00005420142,0.0001636721,0.0001769202,0.00007143131,0.0000448105,0.00006351241,0.0001305686,0.00009801541,0.0001026039],"category_scores_gemma":[0.00001743405,0.0001789955,0.00003895834,0.0002725642,0.000007513876,0.0002151856,0.0000653799,0.00005925172,0.000002696769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428675,"about_ca_system_score_gemma":0.00002839346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003433489,"about_ca_topic_score_gemma":0.001139107,"domain_scores_codex":[0.9991446,0.00001164528,0.0002024554,0.0002313838,0.0001141912,0.0002956929],"domain_scores_gemma":[0.9996689,0.00002147658,0.00001601353,0.0001846415,0.00003882999,0.00007014709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001219849,0.00001761004,0.004119842,0.00004622177,0.00004737583,0.00006156557,0.0006548598,0.9354967,0.006681948,0.02359064,0.005449726,0.02382129],"study_design_scores_gemma":[0.001774849,0.00007840973,0.02004276,0.001047494,0.00005002559,0.0001116438,0.0005569358,0.09911349,0.3466274,0.005493057,0.5223095,0.002794425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7222354,0.001967631,0.2688783,0.0002774677,0.0007675786,0.00006582633,0.000003577662,0.0004894927,0.005314791],"genre_scores_gemma":[0.9707674,0.0003229409,0.02759521,0.0004792136,0.00006792496,0.00003428319,0.00002063982,0.00004647665,0.0006659069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8363832,"threshold_uncertainty_score":0.7299223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009984481010187049,"score_gpt":0.197854322565297,"score_spread":0.1878698415551099,"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."}}