{"id":"W2986666890","doi":"10.1139/cgj-2019-0230","title":"Tensile strength of sands treated with microbially induced carbonate precipitation","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Microbial Applications in Construction Materials","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Civil, Mechanical and Manufacturing Innovation; National Science Foundation","keywords":"Ultimate tensile strength; Cementation (geology); Geotechnical engineering; Compressive strength; Materials science; Carbonate; Composite material; Portland cement; Cement; Geology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002230469,0.0001148104,0.0001764143,0.0001105081,0.00009314488,0.00004012296,0.0002468038,0.0001239556,0.004449081],"category_scores_gemma":[0.0000272067,0.00009751636,0.00004104416,0.000284612,0.0001329949,0.0001149695,0.00003201826,0.0002151662,0.0001906212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003619017,"about_ca_system_score_gemma":0.0001723528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01192348,"about_ca_topic_score_gemma":0.00556653,"domain_scores_codex":[0.9990159,0.00004694445,0.0003188733,0.000198137,0.000158955,0.0002611723],"domain_scores_gemma":[0.999223,0.00002389128,0.0001886116,0.0002425406,0.00004678647,0.000275185],"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":[0.00003220715,0.00001972985,0.009498741,0.00000412994,0.00001937996,0.000007426226,0.00003793761,0.002766721,0.9811189,0.000115,0.001549768,0.004830105],"study_design_scores_gemma":[0.004960097,0.001457832,0.3115951,0.0003476377,0.0002230183,0.003506722,0.0003173013,0.002414043,0.579791,0.001878997,0.09174014,0.001768109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963399,0.000003890611,0.00009623777,0.0002525024,0.00009306203,0.0002534489,0.00003161517,0.00001895462,0.002910382],"genre_scores_gemma":[0.9975163,0.000004636739,0.002084681,0.0001203345,0.00003263911,0.000004919316,0.000008896381,0.00001497134,0.0002126484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4013279,"threshold_uncertainty_score":0.996461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006286485349453509,"score_gpt":0.1972364214436213,"score_spread":0.1909499360941678,"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."}}