{"id":"W2296875920","doi":"10.7492/ijaec.2015.013","title":"A Methodology to Ensure the Consideration of Flexibility and Robustness in the Selection of Facility Renewal Projects","year":2015,"lang":"en","type":"article","venue":"International Journal of Architecture Engineering and Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Flexibility (engineering); Selection (genetic algorithm); Computer science; Operations research; Engineering; Operations management; Engineering management; Risk analysis (engineering); Systems engineering; Reliability engineering; Business; Management; Economics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006937237,0.00007792439,0.0001405534,0.0001977943,0.00001506892,0.00001774826,0.00007864635,0.00005504758,0.000002166281],"category_scores_gemma":[0.0002789322,0.00005079179,0.00003052525,0.0001433968,0.00007301024,0.00007231355,0.00001062188,0.0002156964,3.440783e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003193556,"about_ca_system_score_gemma":0.00004161772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002642977,"about_ca_topic_score_gemma":0.00004266558,"domain_scores_codex":[0.9992406,0.0001039865,0.0003358422,0.00006802284,0.0001939273,0.00005758322],"domain_scores_gemma":[0.9993703,0.0001726065,0.00009853588,0.00005335686,0.0002775912,0.00002754363],"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":[0.0002646656,0.00001913704,0.01080345,0.00007069458,0.0001360005,0.000002577756,0.005269996,0.8182458,0.02518267,0.004438517,0.00002611859,0.1355404],"study_design_scores_gemma":[0.008000392,0.002240719,0.1783814,0.001023659,0.00040565,0.03667888,0.02272594,0.4386212,0.2712086,0.03645201,0.002971682,0.001289858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8543995,0.0001142778,0.1445464,0.0002736661,0.000532523,0.00008560325,0.000006053061,0.00000888451,0.00003308043],"genre_scores_gemma":[0.9854475,0.00001497317,0.01443358,0.000008282293,0.00008682349,0.000003800615,0.000001198082,0.000003054098,8.038751e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3796247,"threshold_uncertainty_score":0.2071229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03431796222631273,"score_gpt":0.2616236360307942,"score_spread":0.2273056738044815,"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."}}