{"id":"W2118744326","doi":"10.1520/gtj20130095","title":"A Simple Test Method for Rapid Measurement of Fines Content in Soils","year":2014,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nanjing Institute of Technology; McGill University; Department of Water Resources","keywords":"Soil water; Soil test; Test method; Water content; Test (biology); Geotechnical engineering; Consumables; Environmental science; Soil science; Statistics; Mathematics; Engineering; Geology; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002066151,0.0001126024,0.0002760573,0.00006075361,0.00005856963,0.00002069324,0.0001717776,0.00006334747,0.000007322301],"category_scores_gemma":[0.006501867,0.00009620033,0.00009953859,0.0002141667,0.00002979207,0.00002799818,0.0000253855,0.0002927933,0.000001844247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004124673,"about_ca_system_score_gemma":0.00001829567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002452577,"about_ca_topic_score_gemma":0.000003505238,"domain_scores_codex":[0.9989101,0.00004726626,0.0004746645,0.0001183307,0.000193831,0.0002557645],"domain_scores_gemma":[0.997663,0.001763619,0.00009736681,0.0001580284,0.0002249399,0.00009304039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006539548,0.0001564267,0.0004235942,0.0001070075,0.0000192827,8.045586e-7,0.0000135402,0.04658553,0.4965389,0.001279915,0.0003725286,0.4544959],"study_design_scores_gemma":[0.001427063,0.0005523995,0.04351584,0.0003611984,0.00005893172,0.00005785163,0.00002236641,0.8547003,0.02291133,0.0649505,0.01105624,0.0003859581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03049941,0.00008803878,0.9683945,0.0003140309,0.00005378495,0.0002280412,0.000006285121,0.0001050488,0.0003109137],"genre_scores_gemma":[0.6197836,0.000004140476,0.379979,0.00002850874,0.0001377483,0.00004818508,4.885603e-7,0.00001566708,0.000002680461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8081148,"threshold_uncertainty_score":0.7783812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1154908957032408,"score_gpt":0.3141663970797895,"score_spread":0.1986755013765488,"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."}}