{"id":"W2968226948","doi":"10.1088/1755-1315/294/1/012055","title":"Design, decision-making and trade-offs in the Centre for Sustainable Development (La Maison du développement durable) in Canada","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Sustainability; Architectural engineering; Architecture; Post-occupancy evaluation; Efficient energy use; Sustainable development; Downtown; Engineering; Business; Operations management; Political science; Geography","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":[0.0005706436,0.0001516356,0.0001340073,0.00007932752,0.0001674566,0.0001570008,0.000195504,0.00002746765,0.0000362259],"category_scores_gemma":[0.00001936113,0.0001232325,0.0000075718,0.0001784316,0.0001158771,0.0003686086,0.00007131312,0.000093754,7.472847e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003999046,"about_ca_system_score_gemma":0.0004467963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00333368,"about_ca_topic_score_gemma":0.01943666,"domain_scores_codex":[0.9987326,0.00002864795,0.0001866115,0.0002667867,0.0002712183,0.0005141769],"domain_scores_gemma":[0.9996302,0.000159467,0.00002428611,0.0001095613,0.000005390097,0.000071095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000465868,0.000229483,0.3307936,0.0008795316,0.00004157577,0.0006905233,0.03583751,0.08277977,0.04415956,0.007896126,0.0006964735,0.49553],"study_design_scores_gemma":[0.001254849,0.0001271022,0.8110242,0.000233274,0.000006503926,0.00005162694,0.1123101,0.03733959,0.01573588,0.0008440039,0.02042189,0.0006509321],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971665,0.0001311096,0.001473761,0.0003198798,0.00004654203,0.0005886809,0.000001586714,0.000009078836,0.0002628238],"genre_scores_gemma":[0.9964457,0.0002290772,0.003138181,0.00006684478,0.000004274951,0.00003587477,0.000001687257,0.00000748794,0.00007088428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.494879,"threshold_uncertainty_score":0.9984561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007243734677257132,"score_gpt":0.1943457932325514,"score_spread":0.1871020585552942,"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."}}