{"id":"W6913076530","doi":"10.5683/sp2/e7z09b","title":"A Worldwide Historical Dam Failure's Database","year":2019,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Dam failure; Embankment dam; Context (archaeology); Notice; Work (physics); Data collection; Asset (computer security); Arch dam; Data sharing","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":[0.001885261,0.001343365,0.001282999,0.02003253,0.0006294994,0.002517415,0.002307646,0.001344862,0.04639515],"category_scores_gemma":[0.00662598,0.0005459079,0.001127785,0.02128793,0.0003137797,0.002314061,0.002058864,0.0008905368,0.0368282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108744,"about_ca_system_score_gemma":0.003096386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008076605,"about_ca_topic_score_gemma":0.005632497,"domain_scores_codex":[0.9978574,0.0001778849,0.0006201621,0.0005588285,0.0006248351,0.0001608921],"domain_scores_gemma":[0.9941545,0.001262686,0.001071319,0.00117064,0.001950066,0.0003906734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003890461,0.0001728388,0.02120479,0.005396862,0.0002009962,0.0006315064,0.000463283,0.00807429,0.002526423,0.009900251,0.7656012,0.1854384],"study_design_scores_gemma":[0.00003686617,0.00006282752,0.0252818,0.0006521747,0.00009369698,0.0004306607,0.0002882926,0.002957502,0.001775211,0.002479784,0.9658445,0.0000966942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003601322,0.0006622647,0.004742411,0.0001189262,0.00006555564,0.00009446515,0.9812562,0.002917096,0.006541754],"genre_scores_gemma":[0.007529248,0.0006636554,0.005222382,0.0000515565,0.00003465145,0.0002155711,0.9836454,0.0002689861,0.002368415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04639515,"threshold_uncertainty_score":0.1552073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669900014916499,"score_gpt":0.2504562628489007,"score_spread":0.2337572626997357,"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."}}