{"id":"W2624933552","doi":"10.1016/j.enbuild.2017.06.017","title":"A green home decision-making tool: Sustainability assessment for homeowners","year":2017,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sustainability; Stakeholder; Consistency (knowledge bases); Weighting; Sustainable design; Environmental economics; Engineering; Business; Environmental resource management; Architectural engineering; Computer science; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004799257,0.0002418783,0.0002808436,0.0001229869,0.0006863942,0.0003901494,0.0003570966,0.0001215643,0.00002188888],"category_scores_gemma":[0.0001581848,0.0002227359,0.0001011771,0.00006863093,0.00009740508,0.0004124146,0.0001502888,0.0001084439,3.127803e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846609,"about_ca_system_score_gemma":0.00008740672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008711855,"about_ca_topic_score_gemma":0.00001795363,"domain_scores_codex":[0.9987154,0.00001559784,0.0002437116,0.0003550368,0.0001867154,0.0004835212],"domain_scores_gemma":[0.9989259,0.0002656385,0.00008070691,0.0005005577,0.0001320046,0.00009517068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001054471,0.00006996938,0.006159884,0.0004560301,0.0001678986,0.00005642371,0.0001891833,0.01098502,0.0008411627,0.1657691,0.006308149,0.8088917],"study_design_scores_gemma":[0.002666473,0.0003275709,0.03741323,0.0003941355,0.0001305153,0.00003333333,0.001040199,0.1430977,0.001237348,0.4779288,0.334052,0.001678682],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4824749,0.0003513035,0.5143767,0.0004240421,0.0005119125,0.0002595019,0.000008834963,0.00027118,0.001321635],"genre_scores_gemma":[0.9804925,0.00009553393,0.01851969,0.00007694801,0.0001838271,0.0001230376,0.000003262451,0.00004362713,0.0004615964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.807213,"threshold_uncertainty_score":0.9082908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00791017839357591,"score_gpt":0.2753043779654327,"score_spread":0.2673941995718568,"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."}}