{"id":"W4408655212","doi":"10.5006/mp2019_58_1-50","title":"Corrosion Damage Repairs to the Arvida Aluminum Bridge","year":2019,"lang":"en","type":"article","venue":"Materials performance","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corrosion; Bridge (graph theory); Forensic engineering; Aluminium; Metallurgy; Materials science; Engineering; Medicine; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004247295,0.0003640158,0.0004107555,0.0009328946,0.00192307,0.000589003,0.0007991286,0.0008336902,0.003283267],"category_scores_gemma":[0.0006200449,0.0002617832,0.0005329613,0.0003956949,0.0004187486,0.0002975017,0.0007146805,0.000628276,0.0009821792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330902,"about_ca_system_score_gemma":0.002122598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2503208,"about_ca_topic_score_gemma":0.4702862,"domain_scores_codex":[0.9991171,0.00003638386,0.0000308358,0.00009303934,0.0005054748,0.0002171456],"domain_scores_gemma":[0.9996079,0.00001358996,0.00004403951,0.0000299374,0.0002588367,0.00004575433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001051166,0.0005169468,0.04706382,0.0003397272,0.0001167129,0.006527187,0.00459584,0.01053959,0.7251203,0.0009887657,0.01105971,0.1920802],"study_design_scores_gemma":[0.00008723215,0.008566723,0.5312225,0.0001583496,0.0001321764,0.008226383,0.005369535,0.006284888,0.355093,0.0002525853,0.08443081,0.0001758864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863881,0.0008958834,0.0007839538,0.0001824172,0.00006950876,0.0000446257,0.0001529838,0.0002000813,0.01128246],"genre_scores_gemma":[0.9789649,0.0003707984,0.0009309512,0.00005868712,0.00001073579,0.000009875262,0.0002344299,0.00002779039,0.01939181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2503208,"threshold_uncertainty_score":0.4977276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008959971483187439,"score_gpt":0.1987982318453082,"score_spread":0.1898382603621207,"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."}}