{"id":"W1983712540","doi":"10.1016/j.sandf.2012.07.004","title":"Reliability analysis of soil-geogrid pullout models in Japan","year":2012,"lang":"en","type":"article","venue":"SOILS AND FOUNDATIONS","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"Japan Society for the Promotion of Science; Ministry of Defense- Japan; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Geogrid; Reliability (semiconductor); Statistics; Geotechnical engineering; Stability (learning theory); Factor of safety; Structural engineering; Calibration; Mathematics; Engineering; Computer science; Reinforcement","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":[0.0007238342,0.0007967588,0.0009776019,0.0007064766,0.0005523731,0.0006077929,0.000872156,0.0007225051,0.001010265],"category_scores_gemma":[0.001719329,0.0004492643,0.001072864,0.0005426968,0.0005183635,0.0005926503,0.0004728508,0.0003574292,0.0001001324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184404,"about_ca_system_score_gemma":0.001242295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08100411,"about_ca_topic_score_gemma":0.03486392,"domain_scores_codex":[0.9997782,0.00007536723,0.00001586844,0.00005260462,0.00003133055,0.00004658934],"domain_scores_gemma":[0.9989808,0.000503955,0.0001029776,0.00005689762,0.0002965714,0.00005873309],"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":[0.00005191674,0.00002063123,0.005002386,0.0000220485,0.00003439081,0.00006606447,0.00003642064,0.9924435,0.0004938181,0.0005332977,0.0001251576,0.001170388],"study_design_scores_gemma":[0.00000739867,0.00002610013,0.002150647,0.000002378955,0.00004080511,0.00000758548,0.00002747459,0.9971808,0.0002401601,0.0002413595,0.00006827238,0.000006994713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989783,0.0001928811,0.00811274,0.00008221332,0.00001324086,0.000009441479,0.0001904827,0.00007540995,0.001540567],"genre_scores_gemma":[0.9989759,0.00004857052,0.0004640348,0.000004684751,0.000002649215,0.000008107665,0.00009368591,0.00001669379,0.000385899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08100411,"threshold_uncertainty_score":0.1610652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397314767787897,"score_gpt":0.2283500978282076,"score_spread":0.2143769501503287,"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."}}