{"id":"W6930438477","doi":"10.5281/zenodo.12214274","title":"Steel bridge rehabilitation strategies in Western Canada","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0006275104,0.0004696317,0.0001978449,0.001554525,0.0115426,0.002429929,0.001926674,0.001261555,0.007548308],"category_scores_gemma":[0.0007953444,0.0002995626,0.0002648202,0.002421438,0.001434657,0.0005984688,0.002102557,0.0008264434,0.0005756733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06402665,"about_ca_system_score_gemma":0.1370697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9888259,"about_ca_topic_score_gemma":0.998125,"domain_scores_codex":[0.9989956,0.00006337605,0.00002701786,0.00009713542,0.0003522818,0.0004645656],"domain_scores_gemma":[0.9988797,0.00002480305,0.00004155464,0.00001762236,0.0006434075,0.0003929608],"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":[0.0004079135,0.001182324,0.1106346,0.0008316223,0.0001526615,0.007969596,0.03439362,0.006449315,0.02950069,0.04760201,0.1156256,0.64525],"study_design_scores_gemma":[0.00007768875,0.0004422751,0.2400322,0.0005864789,0.0001072226,0.001670107,0.05235604,0.003237014,0.005320368,0.002364942,0.6936383,0.0001673907],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7646139,0.006996779,0.002728325,0.01415376,0.000214118,0.0004194562,0.0008441103,0.0003842665,0.2096452],"genre_scores_gemma":[0.8338001,0.005341567,0.006068214,0.004027725,0.00002871153,0.0001719688,0.0008678293,0.00009874113,0.1495952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06402665,"threshold_uncertainty_score":0.464548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134339617477363,"score_gpt":0.2410940031916936,"score_spread":0.2276600414439574,"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."}}