{"id":"W4407141379","doi":"10.3390/geotechnics5010009","title":"Enhancing Lime Dosage Determination for Lean Clay Soil Improvement: Significance of Plasticity Limit and Interpretation Approach","year":2025,"lang":"en","type":"article","venue":"Geotechnics","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Mitacs; Graymont; Polytechnique Montréal","keywords":"Lime; Interpretation (philosophy); Limit (mathematics); Plasticity; Clay soil; Atterberg limits; Environmental science; Soil science; Geology; Geotechnical engineering; Materials science; Mathematics; Computer science; Metallurgy; Soil water; Composite material; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000291042,0.0001134673,0.0001521512,0.00002041842,0.0001564811,0.00003729936,0.0002089866,0.0001198719,0.000001017479],"category_scores_gemma":[0.0001651243,0.00004906461,0.00004735279,0.0002997376,0.00007333772,0.0001449488,0.00007859796,0.00009580099,6.67646e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003117911,"about_ca_system_score_gemma":0.00001088849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004875289,"about_ca_topic_score_gemma":0.0002020834,"domain_scores_codex":[0.9991013,0.00001628857,0.0002423551,0.0003051887,0.0001418248,0.0001930647],"domain_scores_gemma":[0.9993706,0.0003066872,0.0001576198,0.0000421175,0.00008828598,0.00003470001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003984686,0.00006383568,0.0002098629,0.00009411906,0.000005202462,2.230509e-7,0.0001261628,0.0002867854,0.8591685,0.0007882683,0.00007028383,0.1391469],"study_design_scores_gemma":[0.0002870361,0.0007045727,0.01452233,0.0001815214,0.00006165166,0.000004194724,0.000735652,0.1450125,0.833154,0.004239088,0.0007279248,0.000369526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512417,0.00005728981,0.04757405,0.000128134,0.00006591171,0.000527751,0.00005479494,0.00006265534,0.0002876523],"genre_scores_gemma":[0.9978085,0.00002795371,0.001771969,0.0000873626,0.00003137037,0.00006257596,0.00004171017,5.80992e-7,0.0001679443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1447257,"threshold_uncertainty_score":0.2000797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009627001951911497,"score_gpt":0.2127001597604854,"score_spread":0.2030731578085739,"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."}}