{"id":"W2612659281","doi":"10.3390/infrastructures2020007","title":"Highway Bridge Infrastructure in the Province of British Columbia (BC), Canada","year":2017,"lang":"en","type":"article","venue":"Infrastructures","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridge (graph theory); Transport engineering; Retrofitting; Structural health monitoring; Pier; Civil engineering; Resilience (materials science); Vulnerability (computing); Christian ministry; Engineering; Forensic engineering; Computer science; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000230088,0.0003071463,0.0002119163,0.002727574,0.002446309,0.001254406,0.0008895886,0.0002871964,0.006781454],"category_scores_gemma":[0.001168454,0.0002483546,0.0001645622,0.005323434,0.0003844681,0.0003517543,0.0006723285,0.0003655395,0.0008101175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02710244,"about_ca_system_score_gemma":0.02879647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961628,"about_ca_topic_score_gemma":0.9987947,"domain_scores_codex":[0.9995006,0.00001750858,0.00002190518,0.00006038296,0.0002511474,0.0001484164],"domain_scores_gemma":[0.9979194,0.00006172429,0.0001128508,0.00004333571,0.001632931,0.0002297289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001015729,0.0001280115,0.6750889,0.0005804152,0.0001140528,0.0009575079,0.003445198,0.00503898,0.002961596,0.003327902,0.09339745,0.2148583],"study_design_scores_gemma":[0.000004927451,0.00002041207,0.9485823,0.0001111871,0.00002585323,0.0001505222,0.003800347,0.001541599,0.0004198629,0.0001184702,0.04520139,0.00002314868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8227974,0.002945384,0.002042257,0.00154589,0.00007195864,0.0003370169,0.06702165,0.0002494019,0.1029891],"genre_scores_gemma":[0.9365555,0.00187439,0.002421091,0.0002282963,0.00001061475,0.000124586,0.01695533,0.00003746494,0.04179275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02710244,"threshold_uncertainty_score":0.1966429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005097080495747899,"score_gpt":0.195963538055968,"score_spread":0.1908664575602201,"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."}}