{"id":"W4285209777","doi":"10.1051/e3sconf/202234601012","title":"The development of a risk screening indexing tool for prioritizing dam safety remedial works","year":2022,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada); Hydro One (Canada)","funders":"World Bank Group","keywords":"Portfolio; Remedial education; Risk assessment; Risk analysis (engineering); Process (computing); Engineering; Commission; Safety monitoring; Remedial action; Forensic engineering; Civil engineering; Computer science; Business; Computer security; Psychology; Finance","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":[0.0008973918,0.000115977,0.0002087916,0.00006948067,0.0003002135,0.00002387576,0.0002725772,0.00003675614,0.00002167352],"category_scores_gemma":[0.0001457078,0.0001006956,0.00006607777,0.0001510989,0.00003838717,0.0000583518,0.00008143808,0.0002285819,3.147826e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003220334,"about_ca_system_score_gemma":0.0002682876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006591647,"about_ca_topic_score_gemma":0.00005845428,"domain_scores_codex":[0.9989172,0.00003055261,0.0004612402,0.0001110922,0.000259209,0.0002207431],"domain_scores_gemma":[0.9990986,0.0005754089,0.00009721933,0.0001466291,0.00005283342,0.00002933026],"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":[0.000226909,0.00002919024,0.01153515,0.0001704963,0.000324687,0.000001186962,0.005531013,0.1549681,0.002967207,0.008405516,0.0001867807,0.8156537],"study_design_scores_gemma":[0.003359917,0.0002424835,0.1045665,0.0008386124,0.0001245175,0.000006860094,0.01239783,0.5191752,0.01300406,0.00131954,0.3437163,0.001248206],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6188935,0.001299577,0.3708831,0.00006721875,0.001602508,0.0005415864,0.00008973131,0.0002779467,0.006344773],"genre_scores_gemma":[0.9815535,0.00008945107,0.01818524,0.00000190805,0.00006626608,0.00005285268,0.00001345026,0.00001579479,0.00002155054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8144056,"threshold_uncertainty_score":0.4106246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604066050725093,"score_gpt":0.2226309544930009,"score_spread":0.20659029398575,"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."}}