{"id":"W2638304165","doi":"10.1016/j.proeng.2017.05.247","title":"Calibrated Partial Factors for Support of Wedges Exposed in Tunnels","year":2017,"lang":"en","type":"article","venue":"Procedia Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Limit state design; Eurocode; Wedge (geometry); Probabilistic logic; Context (archaeology); Engineering; Limit (mathematics); Code (set theory); Reliability (semiconductor); Computer science; Structural engineering; Civil engineering; Geology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001977867,0.0006422997,0.0005367525,0.0007891892,0.0002826847,0.001110732,0.0007194726,0.0008648217,0.002272188],"category_scores_gemma":[0.007055128,0.0003974333,0.0006514064,0.0002916079,0.0009013901,0.0007639581,0.001121937,0.0005605451,0.0003191342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006492238,"about_ca_system_score_gemma":0.000614621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008654551,"about_ca_topic_score_gemma":0.000763913,"domain_scores_codex":[0.9989274,0.0003122927,0.00007638543,0.000140689,0.0004624751,0.00008079513],"domain_scores_gemma":[0.9978216,0.001097772,0.000274545,0.0003168283,0.0004171912,0.00007219668],"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":[0.0001334088,0.00002463659,0.002388899,0.0001060877,0.00001113658,0.0001407931,0.0001227227,0.9346492,0.0126186,0.0204073,0.000278971,0.02911834],"study_design_scores_gemma":[0.00002151789,0.0002962877,0.001491736,0.00005026777,0.00001667478,0.0002013875,0.0000682999,0.9637879,0.0122614,0.01892467,0.00284436,0.00003550239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08829941,0.0001114449,0.9075163,0.00005825988,0.00002049347,0.00006228327,0.0001042202,0.0003060149,0.003521577],"genre_scores_gemma":[0.8881345,0.00009929638,0.1105942,0.00001410808,0.000006138983,0.00008453214,0.0001037523,0.00008233255,0.0008810378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002272188,"threshold_uncertainty_score":0.01046008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1524479185781736,"score_gpt":0.3437335438200714,"score_spread":0.1912856252418978,"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."}}