{"id":"W2065848172","doi":"10.1139/l03-045","title":"Cost optimization of concrete bridge infrastructure","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Life-cycle cost analysis; Reliability (semiconductor); Engineering; Cost analysis; Prestressed concrete; Girder; Key (lock); Computer science; Civil engineering; Forensic engineering; Reliability engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005614913,0.0006147599,0.0004434492,0.0009007736,0.0001782201,0.0005866642,0.0003416183,0.000361111,0.001546506],"category_scores_gemma":[0.001499814,0.0002790523,0.0003334103,0.0005856424,0.0002816439,0.0006911252,0.0004133685,0.0002664776,0.000200817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010341,"about_ca_system_score_gemma":0.0007424194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002319745,"about_ca_topic_score_gemma":0.003105968,"domain_scores_codex":[0.9995115,0.0001603657,0.0000149671,0.00003876792,0.0002084054,0.00006595601],"domain_scores_gemma":[0.9996465,0.0001661142,0.00005630513,0.00002087715,0.00009250156,0.00001773773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002728595,0.00002366601,0.0006834747,0.0000875289,0.00001649866,0.00003001956,0.00001460283,0.9569393,0.002147515,0.006721366,0.0003734155,0.03293522],"study_design_scores_gemma":[0.0000126826,0.0001838447,0.00221895,0.00002284022,0.00003397139,0.00007472361,0.00004542654,0.9811676,0.002999707,0.01021174,0.003014596,0.0000140441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3832065,0.004752927,0.5810793,0.0004155232,0.00005266743,0.0001589098,0.0002663262,0.000199108,0.02986882],"genre_scores_gemma":[0.9726874,0.001205505,0.02177578,0.00001405164,0.0000104562,0.00007071525,0.0001280943,0.00004976104,0.004058268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002319745,"threshold_uncertainty_score":0.007330596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009438718951425942,"score_gpt":0.1867369607354186,"score_spread":0.1772982417839926,"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."}}