{"id":"W3149685833","doi":"10.2749/christchurch.2021.0464","title":"Challenges of implementing bridge model updating in industry practice","year":2021,"lang":"en","type":"article","venue":"Report","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Bridge (graph theory); Computer science; Field (mathematics); Software engineering; Data science; Engineering management; Engineering","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":[0.08596135,0.0008821578,0.00104271,0.001923357,0.003962827,0.01162997,0.009581339,0.006450067,0.005553666],"category_scores_gemma":[0.1946427,0.001426024,0.0008286376,0.002115926,0.005961106,0.01631094,0.008707527,0.005010444,0.002733863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003971996,"about_ca_system_score_gemma":0.01223599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005956643,"about_ca_topic_score_gemma":0.005587808,"domain_scores_codex":[0.9040568,0.05415876,0.006483216,0.006671019,0.02574129,0.002888754],"domain_scores_gemma":[0.7744766,0.1200624,0.01166801,0.05214385,0.03791752,0.003731603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001454315,0.001378653,0.01250034,0.002073242,0.000095836,0.001006391,0.03882153,0.03705232,0.00800901,0.04836158,0.01807506,0.8324806],"study_design_scores_gemma":[0.0003097286,0.00210228,0.01625501,0.006431068,0.0001974755,0.003717779,0.1231478,0.2166929,0.01988947,0.209993,0.40054,0.000723451],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1595583,0.002498192,0.7086784,0.07681134,0.0006539352,0.00146886,0.0002131542,0.003979495,0.0461384],"genre_scores_gemma":[0.4445688,0.001741368,0.544034,0.003719143,0.0001650376,0.0006582091,0.0003506134,0.0005074763,0.004255432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08596135,"threshold_uncertainty_score":0.4546125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0888051986664557,"score_gpt":0.3913664904604292,"score_spread":0.3025612917939735,"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."}}