{"id":"W4220950785","doi":"10.31124/advance.19300073.v2","title":"Resilient infrastructure in the Anthropocene","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Centre for Comparative Criminology","funders":"","keywords":"Anthropocene; Natural disaster; Resilience (materials science); Political science; Grey literature; Geography; Environmental resource management; Environmental planning; Environmental ethics; Environmental science; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004408119,0.0003076619,0.0003526634,0.0002349769,0.0001246322,0.00008700212,0.0009371598,0.0002269405,0.00522456],"category_scores_gemma":[0.00003427417,0.0002121942,0.0001907181,0.000507538,0.00009517093,0.00005350232,0.0003808904,0.001984139,0.00001005349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002567695,"about_ca_system_score_gemma":0.00006275946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411282,"about_ca_topic_score_gemma":0.0001254157,"domain_scores_codex":[0.9982626,0.0001555715,0.0003985606,0.0003689318,0.0004729987,0.0003412672],"domain_scores_gemma":[0.9988751,0.00008090991,0.00004168443,0.000943778,0.00002127247,0.00003723284],"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":[0.000003187419,0.00001256399,0.004457484,0.000112942,0.00003473499,0.00001666162,0.0005400217,0.9838037,0.00001930743,0.0004829188,0.007448565,0.003067907],"study_design_scores_gemma":[0.0007496051,0.0001152201,0.3541993,0.0001286061,0.0002923308,0.00006044664,0.01004796,0.4548938,0.001105383,0.08917726,0.08667075,0.002559355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8500111,0.002031837,0.009110221,0.001152992,0.002282709,0.00110085,0.0001202954,0.0005391811,0.1336508],"genre_scores_gemma":[0.998374,0.0003642521,0.0006343147,0.0002324749,0.0001379133,0.00009769514,0.00008708586,0.00002619382,0.00004609757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5289099,"threshold_uncertainty_score":0.9956848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00740294391453494,"score_gpt":0.2482727110068026,"score_spread":0.2408697670922677,"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."}}