{"id":"W66559090","doi":"","title":"Culvert Asset Management and Relining Case Study in Saskatchewan","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Culvert; Engineering; High-density polyethylene; Civil engineering; Geotechnical engineering; Polyethylene; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003718869,0.000410742,0.0004687278,0.001602145,0.0004203414,0.0001183679,0.0004173772,0.0002844893,0.0001173818],"category_scores_gemma":[0.00007838558,0.0004327095,0.00009825575,0.001957019,0.0003179904,0.0005079015,0.00001878696,0.002039522,0.00001862416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592899,"about_ca_system_score_gemma":0.0001031329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02237575,"about_ca_topic_score_gemma":0.07464047,"domain_scores_codex":[0.9943255,0.0004380643,0.001036055,0.0008608051,0.001917063,0.001422474],"domain_scores_gemma":[0.9977731,0.0004064396,0.00005044182,0.0005250043,0.0006040484,0.0006410058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001716547,0.002103363,0.542871,0.004703407,0.0008989471,0.05941547,0.2497066,0.0812778,0.001234845,0.006420181,0.003108544,0.0465433],"study_design_scores_gemma":[0.002716629,0.0008530703,0.7691099,0.000313942,0.00005419783,0.00002510872,0.219464,0.003049665,0.0003126612,0.001771759,0.001554668,0.0007744246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99412,0.0002364012,0.001245397,0.0000512681,0.0001390102,0.001651432,0.00006967405,0.000503563,0.001983274],"genre_scores_gemma":[0.9944352,0.0002511766,0.004311294,0.0000133858,0.0000520448,0.0004778989,0.00006958233,0.0001073535,0.0002820743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2262389,"threshold_uncertainty_score":0.9998125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05294801880213214,"score_gpt":0.3319280738113861,"score_spread":0.2789800550092539,"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."}}