{"id":"W2984253369","doi":"10.1139/cgj-2019-0215","title":"Systematic approach to assessing the applicability of fly-ash-based geopolymer for clay stabilization","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geopolymer; Fly ash; Lime; Soil stabilization; Compaction; Durability; Compressive strength; Geotechnical engineering; Curing (chemistry); Soil water; Environmental science; Clay soil; Materials science; Geology; Soil science; Composite material; Metallurgy","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":[0.001193635,0.0001065088,0.0002557386,0.0001316528,0.00009959321,0.0001329483,0.0003252168,0.00009845302,0.0001186362],"category_scores_gemma":[0.0001273329,0.00007633839,0.00009468057,0.0002056274,0.00003261064,0.00007310838,0.00001643556,0.0001959469,0.0000120993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654102,"about_ca_system_score_gemma":0.0002883482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003618097,"about_ca_topic_score_gemma":0.0001252252,"domain_scores_codex":[0.9987696,0.00008332342,0.00041994,0.0001264204,0.0002421734,0.0003585744],"domain_scores_gemma":[0.9990292,0.0001720361,0.00005149028,0.000331102,0.0001174297,0.0002987771],"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":[0.00005645772,0.00007618967,0.001016625,0.02698211,0.0002576277,0.000004114,0.0003590948,0.5989879,0.361962,0.001866141,0.003750393,0.004681314],"study_design_scores_gemma":[0.001003357,0.0002005841,0.0009558589,0.001310829,0.0001086942,0.0000393296,0.0006734732,0.9447552,0.04677355,0.0003570453,0.003309085,0.0005130055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6392598,0.0002598642,0.3549403,0.0004360666,0.0003005358,0.003234155,0.00004770246,0.00006597727,0.001455606],"genre_scores_gemma":[0.9990062,0.000002350283,0.0006503198,0.00009925874,0.0000654937,0.0001230754,0.000007441946,0.00002295738,0.00002288142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3597464,"threshold_uncertainty_score":0.3112989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675139091700918,"score_gpt":0.2589120243149013,"score_spread":0.2421606333978921,"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."}}