{"id":"W2294187260","doi":"","title":"Engaging End Users in Green Building Design Software","year":2015,"lang":"en","type":"article","venue":"","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Architectural engineering; Green building; Process (computing); Exploratory research; Building design; End user; Engineering; Engineering design process; Software; Engineering management; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009176266,0.0006742104,0.0005173501,0.001259017,0.001298069,0.00351621,0.001284521,0.00111404,0.008063928],"category_scores_gemma":[0.02133234,0.0004842754,0.0004945276,0.001072424,0.001029901,0.003635591,0.003365109,0.001037344,0.00300605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177665,"about_ca_system_score_gemma":0.00128962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146126,"about_ca_topic_score_gemma":0.003554523,"domain_scores_codex":[0.9921249,0.005867699,0.0003474779,0.000342854,0.001007268,0.0003098514],"domain_scores_gemma":[0.9805134,0.01502946,0.0004945184,0.001652516,0.001827151,0.000482927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006666057,0.001557781,0.02193952,0.001619566,0.00008157097,0.003064831,0.2777255,0.006742656,0.05753397,0.03244104,0.01851926,0.5781078],"study_design_scores_gemma":[0.0002678047,0.001785026,0.01413161,0.001465141,0.0002021453,0.002399195,0.1382481,0.03750628,0.05484426,0.03491874,0.7139481,0.0002835625],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3859611,0.0005886074,0.5114872,0.002249678,0.00005636826,0.001247335,0.0004497385,0.003711142,0.09424879],"genre_scores_gemma":[0.671815,0.0008153184,0.2927929,0.0008565897,0.00003223019,0.00112455,0.0007509178,0.0008363596,0.03097613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009176266,"threshold_uncertainty_score":0.04852933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811455803883845,"score_gpt":0.2579484995854929,"score_spread":0.2198339415466544,"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."}}