{"id":"W6967617602","doi":"10.5281/zenodo.12214275","title":"Steel bridge rehabilitation strategies in Western Canada","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Girder; Bridge (graph theory); Flange; Corrosion; Durability; Service life; Driver rehabilitation","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":[0.0006364748,0.0004676946,0.0002076192,0.001512698,0.01210385,0.002571899,0.001877359,0.001279175,0.006272137],"category_scores_gemma":[0.0008282532,0.0002978792,0.0002676736,0.00225447,0.001472255,0.0006229473,0.002115602,0.0008103201,0.0004935782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0668844,"about_ca_system_score_gemma":0.1388356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903708,"about_ca_topic_score_gemma":0.9984134,"domain_scores_codex":[0.9989747,0.00006943359,0.00002738514,0.00009633374,0.0003528955,0.0004792979],"domain_scores_gemma":[0.9989235,0.00002514719,0.00004094654,0.00001653057,0.0006366766,0.0003571776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004701859,0.001240471,0.1193269,0.0008694525,0.0001733578,0.009475091,0.04379444,0.00849658,0.03243515,0.05013254,0.1061209,0.6274649],"study_design_scores_gemma":[0.0000896756,0.0005279926,0.2514924,0.0006510946,0.0001339596,0.002008961,0.07128447,0.004144976,0.006597258,0.002563615,0.6603135,0.0001922522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8011522,0.00606312,0.002207242,0.01113811,0.0001532898,0.0003324826,0.0005701972,0.0003042553,0.1780791],"genre_scores_gemma":[0.8701917,0.004604435,0.004869107,0.003119482,0.00002140171,0.0001280353,0.0006002231,0.0000806462,0.116385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0668844,"threshold_uncertainty_score":0.4852825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995861047752591,"score_gpt":0.2294485355920897,"score_spread":0.2094899251145638,"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."}}