{"id":"W2742527285","doi":"10.1051/matecconf/201712002017","title":"Comparison between major repair and replacement options for a bridge deck life cycle assessment: A case study","year":2017,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Bridge (graph theory); Deck; Bridge deck; Engineering; Transport engineering; Rehabilitation; Energy consumption; Forensic engineering; Civil engineering; Construction engineering; Production (economics); Structural engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000405566,0.0001254459,0.0003396122,0.00004821787,0.0002438829,0.0001322898,0.0001519816,0.00004565233,0.00008191259],"category_scores_gemma":[0.00009488533,0.0001158558,0.00005612946,0.00002556811,0.00007995626,0.0001026349,0.00008874233,0.00007768736,0.000001683507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001716542,"about_ca_system_score_gemma":0.0001214581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005754766,"about_ca_topic_score_gemma":0.00091099,"domain_scores_codex":[0.9991419,0.00003341413,0.0003564924,0.0002033799,0.0001196462,0.0001451503],"domain_scores_gemma":[0.9991035,0.0001347874,0.0001138838,0.0004656341,0.00007795333,0.0001042267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002368829,0.00006100029,0.9967917,0.0001757663,0.00006862869,0.000009229786,0.0003727141,0.00002933872,0.0002052312,0.0005108773,0.000328588,0.001423215],"study_design_scores_gemma":[0.001288778,0.0003754146,0.9374184,0.00004352393,0.0001110197,0.00001047352,0.002454646,0.05638587,0.000168278,0.0001208316,0.001435095,0.0001876615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965931,0.00007815553,0.0009440301,0.00008773541,0.000119106,0.0006539311,0.00007438324,0.0001643597,0.001285186],"genre_scores_gemma":[0.9991797,0.0000124293,0.0006456729,0.000004752811,0.00002833259,0.00009471867,0.000005853972,0.000009513961,0.00001904558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05937331,"threshold_uncertainty_score":0.4724461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07422207857495206,"score_gpt":0.3641517253009186,"score_spread":0.2899296467259665,"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."}}