{"id":"W2309922391","doi":"10.1016/j.tust.2016.03.006","title":"Semi-analytical model for umbrella arch systems employed in squeezing ground conditions","year":2016,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Arch; Displacement (psychology); Engineering; Structural engineering; Foundation (evidence); Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002317323,0.0002372853,0.0004231153,0.0005758336,0.00009251363,0.00004360774,0.0001696835,0.0003768913,0.000003029191],"category_scores_gemma":[0.00008081541,0.0001988641,0.00008461509,0.0004511528,0.0001382801,0.00008279029,0.00003717907,0.0002784226,0.000007665874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317457,"about_ca_system_score_gemma":0.000018096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005502146,"about_ca_topic_score_gemma":0.00005108351,"domain_scores_codex":[0.998658,0.00001225688,0.0003450678,0.0003536321,0.000105665,0.0005253606],"domain_scores_gemma":[0.9992304,0.0002952199,0.00003241544,0.0003026321,0.00004320367,0.00009605511],"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":[0.000005651008,0.0000253992,0.0002487535,0.0001223889,0.00009081938,0.000006904305,0.00003536925,0.8825927,0.008350606,0.1079002,0.0001507825,0.0004704697],"study_design_scores_gemma":[0.0005062933,0.00003677209,0.0000255231,0.0001645956,0.00005784357,0.00002341424,0.0001568528,0.9779881,0.0001487523,0.0201383,0.0004707003,0.0002828514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2075274,0.0007074445,0.7893756,0.001160821,0.00007894732,0.0001533916,0.00001360487,0.0008538298,0.0001290189],"genre_scores_gemma":[0.9969624,0.0004889385,0.001202179,0.000009535996,0.00004060075,0.0000824988,0.00000536883,0.00005297343,0.001155515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.789435,"threshold_uncertainty_score":0.8109442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116371489381427,"score_gpt":0.2480214042575167,"score_spread":0.2268576893637024,"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."}}