{"id":"W4401794558","doi":"10.1108/sasbe-11-2023-0364","title":"The design and validation of a decision support system (DSS) for the preliminary risk assessment of brownfield sites (PRABS)","year":2024,"lang":"en","type":"article","venue":"Smart and Sustainable Built Environment","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Brownfield; Decision support system; Systems engineering; Risk assessment; Computer science; Risk analysis (engineering); Engineering; Environmental science; Business; Civil engineering; Data mining; Redevelopment","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":[0.0006734068,0.0000855226,0.00009591453,0.00003868656,0.0001760382,0.0000555985,0.00005320481,0.00004997081,0.00001262167],"category_scores_gemma":[0.00001786684,0.00005106072,0.00003732284,0.0000441584,0.00006568622,0.00009333465,0.00003502073,0.00007110324,4.084213e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005640192,"about_ca_system_score_gemma":0.00002126172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002280402,"about_ca_topic_score_gemma":0.000001374663,"domain_scores_codex":[0.9993923,0.00003501446,0.0002144389,0.0001100075,0.0001220642,0.0001261505],"domain_scores_gemma":[0.9991968,0.0005783364,0.00003838029,0.0001449517,0.00002037788,0.00002119014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004976408,0.00008912053,0.01643043,0.005173749,0.0008400803,0.00001920891,0.002888132,0.1920805,0.007041257,0.1505281,0.009843222,0.6145686],"study_design_scores_gemma":[0.0005381182,0.0007427178,0.01409318,0.0001383542,0.0003601757,0.00003926184,0.01450314,0.9075539,0.01528554,0.005980468,0.04054341,0.0002217176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2018975,0.004467095,0.7921891,0.000130557,0.0001676499,0.0008166527,0.00000946826,0.00003539072,0.0002865414],"genre_scores_gemma":[0.9955425,0.001677382,0.002286103,0.00000205218,0.00002199455,0.0001346833,0.000004130826,0.00001026127,0.0003208767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.793645,"threshold_uncertainty_score":0.2082196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007792752009681021,"score_gpt":0.2194359546611831,"score_spread":0.2116432026515021,"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."}}