{"id":"W4385631477","doi":"10.2749/istanbul.2023.0798","title":"Development of Indonesia’s Probabilistic based Bridge Loading Code","year":2023,"lang":"en","type":"article","venue":"Report","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Structural engineering; Probabilistic logic; Reliability (semiconductor); Structural load; Engineering; Limit state design; Code (set theory); Load testing; Computer science; Reliability engineering; Set (abstract data type)","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":[0.0001512511,0.0001100097,0.0001657747,0.0001071656,0.00002612533,0.000009040444,0.00009126585,0.00005138217,0.00002303595],"category_scores_gemma":[0.00005170104,0.0001112581,0.00004424049,0.0002727521,0.00001880299,0.00004496885,0.00002383206,0.00007367183,0.00003518424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009123254,"about_ca_system_score_gemma":0.0001012692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005027462,"about_ca_topic_score_gemma":0.000001352968,"domain_scores_codex":[0.9990465,0.000003405126,0.0003998172,0.0001286037,0.0002232364,0.0001984081],"domain_scores_gemma":[0.9995749,0.00002686789,0.00006418239,0.0002357642,0.0000428961,0.00005537705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002145321,0.000002198628,0.05439448,0.00125306,0.0001666221,0.002935927,0.001291251,0.0823765,0.8115878,0.0003219232,0.001536176,0.04411267],"study_design_scores_gemma":[0.0004041159,0.00001470125,0.4409662,0.0001432432,0.00004108188,0.0003034093,0.00003294425,0.04078841,0.5115169,0.00002683825,0.005277966,0.0004841862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960926,0.000008598464,0.001747605,0.000006904555,0.0002370909,0.0001560658,0.000003127916,0.00055974,0.001188304],"genre_scores_gemma":[0.9950348,7.824423e-7,0.004733998,0.000003204556,0.0000188901,0.00002552208,0.00004267155,0.00002646473,0.0001136508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3865717,"threshold_uncertainty_score":0.4536975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03568061971797049,"score_gpt":0.2656619394452026,"score_spread":0.2299813197272321,"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."}}