{"id":"W4401688154","doi":"10.1520/gtj20230379","title":"Calibration and Validation of S3F Sensor for Measuring Normal and Shear Stresses in Soil","year":2024,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Transportation Consortium of South-Central States","keywords":"Geotechnical engineering; Calibration; Geology; Shear (geology); Soil test; Soil water; Soil science; Environmental science; Mathematics; Petrology","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":[0.0005477798,0.0000557097,0.00008165109,0.00004846972,0.00007031269,0.00008443264,0.00003295142,0.00004905688,0.00002034439],"category_scores_gemma":[0.0004696234,0.00005040708,0.00001426411,0.0001097904,0.00009855413,0.0002919828,0.00005055104,0.0001082282,7.158094e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003628614,"about_ca_system_score_gemma":0.00001092138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006602728,"about_ca_topic_score_gemma":0.000008354164,"domain_scores_codex":[0.9993894,0.00003168423,0.0002285201,0.0001198375,0.0001215929,0.0001089431],"domain_scores_gemma":[0.9996879,0.0001687015,0.0000569734,0.00003889598,0.000008686424,0.0000388029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005435359,0.00003073188,0.2927789,0.0002047032,0.00001113354,0.00001763541,0.0001754344,0.04409333,0.6155697,0.0001178947,0.00006732302,0.04687886],"study_design_scores_gemma":[0.001056547,0.0004681093,0.3719812,0.001082332,0.00007716627,0.002812932,0.0001522363,0.3618425,0.2480862,0.01170856,0.0002989873,0.0004331509],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919999,0.00004617617,0.007565686,0.0001311355,0.0001097133,0.00008575308,0.000003184189,0.00003143456,0.00002696844],"genre_scores_gemma":[0.9901106,0.00001178597,0.009788959,0.000004800752,0.000070363,0.000003332825,8.52594e-7,0.000006873671,0.000002414394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3674835,"threshold_uncertainty_score":0.2055541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03096048911515357,"score_gpt":0.2440811536293145,"score_spread":0.213120664514161,"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."}}