{"id":"W2939479925","doi":"10.1139/cjce-2017-0692","title":"Decision support method for estimating monetary value of post-renovation office buildings","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Value (mathematics); Architectural engineering; Engineering; Civil engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001633717,0.0008332894,0.0009021527,0.002001398,0.0004174405,0.001216749,0.001056362,0.001009156,0.002609716],"category_scores_gemma":[0.004330663,0.0003198765,0.0008109296,0.001165161,0.0002276881,0.00093108,0.0005626024,0.0007976146,0.0003624394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007380258,"about_ca_system_score_gemma":0.001322049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007019336,"about_ca_topic_score_gemma":0.004115134,"domain_scores_codex":[0.9993064,0.0002121421,0.00008198711,0.000132217,0.0001996293,0.0000675661],"domain_scores_gemma":[0.9983247,0.00107191,0.000158885,0.00004185126,0.0003514725,0.00005123363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005115611,0.000419739,0.01251866,0.0002196057,0.0001313142,0.0003136405,0.000121437,0.7797866,0.003217749,0.002905291,0.00130164,0.1985528],"study_design_scores_gemma":[0.00001090905,0.00004093492,0.0005655717,0.000007263919,0.00001013885,0.00001331207,0.00001699433,0.9982479,0.000434502,0.0005115584,0.0001354787,0.000005414296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1689902,0.0002441116,0.8268881,0.0002623,0.00006303026,0.0002324133,0.0005512069,0.0007160587,0.002052626],"genre_scores_gemma":[0.8795574,0.0001742763,0.1185583,0.00004870931,0.00003190984,0.0003054079,0.0005125984,0.00001212821,0.0007994392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007019336,"threshold_uncertainty_score":0.01395696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00584344617281284,"score_gpt":0.2103959293361795,"score_spread":0.2045524831633667,"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."}}