{"id":"W2042252877","doi":"","title":"REDUCTION OF EXPANSIVE INDEX OF KAOLINITE AND BENTONITE CLAY BY USING SAND AND FLY ASH MIXTURES","year":2014,"lang":"en","type":"article","venue":"OpenSIUC (Southern Illinois University Carbondale)","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bentonite; Kaolinite; Expansive clay; Fly ash; Expansive; Clay minerals; Index (typography); Geology; Geotechnical engineering; Mineralogy; Materials science; Soil science; Soil water; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009774629,0.0001766811,0.0003059735,0.0001603267,0.00006926917,0.00001679605,0.00009476134,0.0001779207,0.00001049291],"category_scores_gemma":[0.00001061491,0.0001898029,0.00004762676,0.00018004,0.0001820396,0.0001278995,0.00005292414,0.0001680685,9.827623e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003120944,"about_ca_system_score_gemma":0.00001664488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008137047,"about_ca_topic_score_gemma":0.0000298246,"domain_scores_codex":[0.9992507,0.00005694688,0.0001709077,0.0002131221,0.0001385307,0.0001698008],"domain_scores_gemma":[0.9994651,0.00004314369,0.00009416493,0.0001780901,0.0001261193,0.00009336217],"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":[0.0002494671,0.00003588922,0.01305213,0.0002477365,0.0003097459,0.00001118964,0.01184168,0.007220916,0.9554656,0.00007699843,0.0003528167,0.01113588],"study_design_scores_gemma":[0.01326589,0.0006760372,0.01563987,0.0009887979,0.001412361,0.0001622503,0.02510994,0.2083081,0.7113856,0.0005514447,0.01948762,0.003012018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968044,0.0004926407,0.0003147936,0.00001624934,0.0001226474,0.0001174409,0.0001153304,0.00004023257,0.001976288],"genre_scores_gemma":[0.9992201,0.0001922712,0.0002431582,0.000009679255,0.00003777561,1.102563e-7,0.00001602203,0.00002320073,0.0002577291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2440799,"threshold_uncertainty_score":0.773994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005752283382178243,"score_gpt":0.1733906629933737,"score_spread":0.1676383796111955,"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."}}