{"id":"W4319338464","doi":"10.1139/cgj-2022-0601","title":"A multi-component model for expansive soils with different mineral compositions","year":2023,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expansive clay; Swelling; Geotechnical engineering; Soil water; Expansive; Strain (injury); Deformation (meteorology); Clay minerals; Geology; Materials science; Soil science; Mineralogy; Composite material; Compressive strength","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00006162118,0.000175446,0.0001930667,0.0002743797,0.0002228376,0.00007765845,0.0001762734,0.0001339754,0.0000126691],"category_scores_gemma":[0.00001302206,0.0001408793,0.0001062461,0.0002055442,0.00004001689,0.00007313048,0.000009160444,0.0004640103,0.00001595015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671652,"about_ca_system_score_gemma":0.0001379161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004529226,"about_ca_topic_score_gemma":0.005896152,"domain_scores_codex":[0.9989578,0.00001054004,0.0002071674,0.0001333154,0.0001271066,0.0005641204],"domain_scores_gemma":[0.9989924,0.00004063978,0.00002181145,0.0001396782,0.00008248728,0.0007229889],"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":[0.00001431618,0.00001462676,0.00002593877,0.00001280995,0.00006324488,0.0001110969,0.0001186446,0.9788078,0.005098555,0.00006354778,0.01436929,0.001300098],"study_design_scores_gemma":[0.0007815721,0.00004879077,0.002432647,0.00006086758,0.00002847765,0.000175855,0.00005116625,0.9949684,0.0001672427,0.0001616345,0.0009064234,0.0002169696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7688357,0.0001160168,0.2276516,0.001827045,0.0003891425,0.0003603064,0.0002603947,0.0004864865,0.00007341238],"genre_scores_gemma":[0.9969316,0.00003602755,0.002308331,0.0002067777,0.0001594989,0.00006388127,0.000062527,0.00004674265,0.0001846289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2280959,"threshold_uncertainty_score":0.5744891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215516637570905,"score_gpt":0.2235097380854226,"score_spread":0.2013545717097136,"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."}}