{"id":"W2789998075","doi":"10.3390/urbansci2010028","title":"The Integration of Socio-Economic Indicators in the CASBEE-UD Evaluation System: A Case Study","year":2018,"lang":"en","type":"article","venue":"Urban Science","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Strengths and weaknesses; Adaptability; Weighting; Analytic hierarchy process; Sustainability; Process (computing); Process management; Sustainable development; Computer science; Order (exchange); Economic evaluation; Environmental resource management; Management science; Operations research; Business; Engineering; Political science; Economics; 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":[0.004192126,0.00005823651,0.00006019379,0.0001859258,0.0002597584,0.00009509144,0.0003109427,0.00001535193,0.000003909489],"category_scores_gemma":[0.0000663304,0.00003414774,0.000013425,0.0006228366,0.0002289631,0.0001517239,0.0000213477,0.00006526503,0.000005368035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005087999,"about_ca_system_score_gemma":0.0001966029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002307704,"about_ca_topic_score_gemma":0.0001554456,"domain_scores_codex":[0.9991682,0.00009586125,0.0001755587,0.0001209068,0.0002868584,0.0001526377],"domain_scores_gemma":[0.9995337,0.0001040058,0.00004703516,0.0002433074,0.00005312042,0.00001888844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004844571,0.0005148181,0.1430817,0.000219862,0.0001189038,0.0004377145,0.4784896,0.03216846,0.0176499,0.09945911,0.007042716,0.2207687],"study_design_scores_gemma":[0.0004491089,0.0002446086,0.01121625,0.00003762891,0.00003446066,0.0001169345,0.4255068,0.5596622,0.002014118,0.0002017483,0.0003626291,0.0001534755],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964778,0.00006102092,0.001152474,0.00002284625,0.0002699051,0.0005142061,4.971562e-7,0.00002341046,0.001477789],"genre_scores_gemma":[0.9998247,9.619029e-7,0.00004147123,0.000004691493,0.00005023398,0.00005917769,1.521377e-7,0.000003874943,0.00001476262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5274937,"threshold_uncertainty_score":0.1997878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676334204693063,"score_gpt":0.3130763739804219,"score_spread":0.2863130319334913,"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."}}