{"id":"W4404387604","doi":"10.1061/9780784485842.031","title":"Soil Mixing for Geo-Structural Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"","keywords":"Mixing (physics); Computer science; Environmental science; Geology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002360777,0.0004708334,0.0002650498,0.0005106963,0.000518938,0.0006847565,0.0003541104,0.0007836389,0.006980286],"category_scores_gemma":[0.0004471818,0.000145549,0.0003233353,0.0008165588,0.000427522,0.0005960927,0.0007762005,0.0004811261,0.001213255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000290693,"about_ca_system_score_gemma":0.0003500271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002651142,"about_ca_topic_score_gemma":0.0005259456,"domain_scores_codex":[0.9998474,0.00003548796,0.000008828119,0.00002129862,0.00007313769,0.00001383201],"domain_scores_gemma":[0.9998639,0.00004923635,0.00002104713,0.00002084251,0.00002916581,0.00001577079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002182912,0.0001526144,0.001503264,0.0009958529,0.00003134477,0.0004978646,0.0002259251,0.09373686,0.3172053,0.09889339,0.004555757,0.4819835],"study_design_scores_gemma":[0.00008527918,0.0007641614,0.002172793,0.0003600056,0.00006981617,0.00139473,0.0004605249,0.4257643,0.2531943,0.1099382,0.2057389,0.00005689987],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06439021,0.007726427,0.8791381,0.00117194,0.0002920962,0.0001160425,0.0001298319,0.001165671,0.04586966],"genre_scores_gemma":[0.7881783,0.00445009,0.1918858,0.0001775182,0.0001426003,0.00007407821,0.0001553633,0.000104169,0.01483204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006980286,"threshold_uncertainty_score":0.02335143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006035508135151832,"score_gpt":0.2147653320985052,"score_spread":0.2087298239633534,"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."}}