{"id":"W7070802792","doi":"","title":"Protecting critical concrete infrastructure against extreme shocks","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Critical infrastructure; Vulnerability (computing); Loss and damage; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001043859,0.0006412743,0.0002073431,0.0007671228,0.003083593,0.002309818,0.0007569917,0.002104018,0.007825305],"category_scores_gemma":[0.002149528,0.000229055,0.0002908378,0.0005223886,0.001407924,0.001094104,0.002766121,0.001411726,0.001122401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003612488,"about_ca_system_score_gemma":0.009792792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09038837,"about_ca_topic_score_gemma":0.1407136,"domain_scores_codex":[0.9987904,0.0001210274,0.00003305634,0.00008236724,0.0004140751,0.0005589366],"domain_scores_gemma":[0.9987679,0.0001030869,0.0002389413,0.0001795697,0.0004827987,0.0002277408],"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":[0.0006592183,0.0004191342,0.05511175,0.0005922984,0.0002261283,0.003749726,0.00812893,0.05917653,0.2228433,0.2080072,0.04363848,0.3974474],"study_design_scores_gemma":[0.0001630476,0.001177764,0.1797275,0.0007640854,0.0001633294,0.001425152,0.02523163,0.02393441,0.09787173,0.04773187,0.6215957,0.0002137535],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7972236,0.00100937,0.04654965,0.01286581,0.0003583293,0.0002350995,0.0003335551,0.000667999,0.1407566],"genre_scores_gemma":[0.9712443,0.0002918055,0.004334682,0.0004894715,0.000027796,0.00004808379,0.0001015931,0.00003420114,0.02342802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09038837,"threshold_uncertainty_score":0.1797245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007657956378822404,"score_gpt":0.2600948759522954,"score_spread":0.252436919573473,"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."}}