{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005902722,0.001584704,0.0009405436,0.01076644,0.00072346,0.004112997,0.001685803,0.001111914,0.01045834],"category_scores_gemma":[0.02186334,0.0006174263,0.00134258,0.00416952,0.0004434456,0.003855448,0.002041942,0.001319697,0.004015651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618447,"about_ca_system_score_gemma":0.003483883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006797461,"about_ca_topic_score_gemma":0.005965444,"domain_scores_codex":[0.9966438,0.0005840497,0.0005005738,0.0003431455,0.001759895,0.0001685829],"domain_scores_gemma":[0.9851628,0.007448059,0.001208449,0.001086297,0.004613865,0.0004805566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003859029,0.0008105973,0.02433967,0.001387675,0.0002045134,0.0005599619,0.001260412,0.03436954,0.01027436,0.0270786,0.06832111,0.8310077],"study_design_scores_gemma":[0.0003267131,0.001087943,0.03030985,0.001008421,0.0002920808,0.001340118,0.001458568,0.679935,0.04720988,0.04630294,0.1902342,0.0004942309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04123222,0.0003958432,0.83241,0.001200172,0.0002309979,0.002700699,0.01334822,0.08010092,0.02838097],"genre_scores_gemma":[0.124352,0.0002593052,0.8582844,0.0002230249,0.00004648944,0.0009874434,0.009129825,0.0009887777,0.005728818],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01076644,"threshold_uncertainty_score":0.03498667,"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."}}