{"id":"W2027856419","doi":"10.1139/t02-121","title":"Assessment of self-boring pressuremeter tests in sensitive clay","year":2003,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Geotechnical engineering; Pore water pressure; Mohr–Coulomb theory; Stress path; Stress (linguistics); Triaxial shear test; Geology; Plane stress; Shear (geology); Engineering; Structural engineering; Finite element method","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.0004199339,0.0001844264,0.0002849131,0.0003782216,0.00005374952,0.00003974334,0.0001784234,0.0002408039,0.00004413866],"category_scores_gemma":[0.0001403026,0.0001823499,0.00009673649,0.0003190369,0.00003303049,0.00009207914,0.00001000217,0.001029117,0.00000189484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004481424,"about_ca_system_score_gemma":0.0002595651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007194412,"about_ca_topic_score_gemma":0.00132526,"domain_scores_codex":[0.9986539,0.00005248603,0.0004080698,0.0001461197,0.0002206362,0.0005187575],"domain_scores_gemma":[0.9991463,0.00008283055,0.00003918179,0.0002087779,0.00006617293,0.0004566866],"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":[9.230037e-7,0.00001504909,0.0006158454,0.00003728697,0.00005532054,0.000182563,0.00003035916,0.9892468,0.004560769,0.004104004,0.0002380819,0.0009129576],"study_design_scores_gemma":[0.002600911,0.0003811288,0.4115788,0.0007132753,0.0001689357,0.00343394,0.0001608664,0.4793399,0.01030232,0.01061322,0.07860395,0.002102752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327579,0.001281402,0.1277709,0.0003881717,0.002087522,0.0006881446,0.00004398988,0.0008353748,0.03414655],"genre_scores_gemma":[0.9938903,0.00005304626,0.005914084,0.00003948254,0.00005133788,0.000004380493,9.616349e-7,0.0000311018,0.00001532582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.509907,"threshold_uncertainty_score":0.7436015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007382352936060186,"score_gpt":0.2183473272111967,"score_spread":0.2109649742751365,"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."}}