{"id":"W1986803739","doi":"10.1007/s10706-007-9152-5","title":"Comparison of Methods for Determining Specific-surface Area of Fine-grained Soils","year":2007,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Soil water; Context (archaeology); Sorption; Hydrogeology; Specific surface area; Atterberg limits; Environmental science; Soil science; Mineralogy; Chemistry; Geology; Geotechnical engineering; Adsorption; Organic chemistry","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":[0.0004497844,0.0001928347,0.0005223455,0.00006979983,0.00002392924,0.000006208306,0.0001391331,0.0002872835,0.00001475833],"category_scores_gemma":[0.0002191873,0.0001593466,0.0001069718,0.0002208749,0.0000710714,0.00003819143,0.00005342854,0.0002690932,5.16163e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000112677,"about_ca_system_score_gemma":0.000003261274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001903463,"about_ca_topic_score_gemma":6.711584e-7,"domain_scores_codex":[0.9988289,0.000009652772,0.0005432391,0.0001864667,0.00007702313,0.0003547336],"domain_scores_gemma":[0.998841,0.0007958798,0.00005242426,0.0001567703,0.00004951571,0.0001043645],"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":[0.00005766987,0.00004627174,0.0004641502,0.0002135235,0.0000440834,0.00000290074,0.00006581666,0.7006913,0.1805261,0.001198942,0.0000679412,0.1166213],"study_design_scores_gemma":[0.0004239466,0.0002099747,0.006916984,0.00006557276,0.0000217595,0.00000923572,0.00003008959,0.8842746,0.1037696,0.0002670825,0.003761738,0.0002493932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4650206,0.001111455,0.5333022,0.00001524119,0.0001002776,0.0001077714,0.000004176943,0.0001933555,0.000144891],"genre_scores_gemma":[0.8484404,0.00004569996,0.151435,0.000004282318,0.00003840234,0.000005763126,0.00000526433,0.00001535877,0.000009813762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3834198,"threshold_uncertainty_score":0.6497964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04408432423598613,"score_gpt":0.316943793654036,"score_spread":0.2728594694180498,"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."}}