{"id":"W4391440404","doi":"10.1007/978-3-031-51951-2_8","title":"Performance of Nano-Bio Treated Columns in Slope Stability Using Centrifuge Modeling","year":2024,"lang":"en","type":"book-chapter","venue":"Springer series in geomechanics and geoengineering","topic":"Microbial Applications in Construction Materials","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Centrifuge; Stability (learning theory); Nano-; Geotechnical engineering; Materials science; Geology; Computer science; Composite material; Physics; Nuclear physics; Machine learning","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":[0.0002529303,0.0005544823,0.0005269204,0.0001936865,0.0003666731,0.0007107019,0.0007126368,0.0006546405,0.002421118],"category_scores_gemma":[0.0004215281,0.0002649909,0.0006229429,0.0002792011,0.0001424492,0.0004732652,0.0001809546,0.0004174256,0.000802475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006887492,"about_ca_system_score_gemma":0.0006854734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188146,"about_ca_topic_score_gemma":0.01101307,"domain_scores_codex":[0.9998935,0.00002568276,0.000006820582,0.00002170628,0.00004190464,0.00001030551],"domain_scores_gemma":[0.9997348,0.0001541678,0.00001568979,0.00001746177,0.00007148837,0.000006331552],"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":[0.0001517047,0.0001400531,0.0013423,0.0001571734,0.00003505124,0.00004761688,0.00004802367,0.9233566,0.04336854,0.001160548,0.001426662,0.02876577],"study_design_scores_gemma":[0.000002957409,0.0000391862,0.0004133196,0.000003949326,0.000006844431,0.000005193484,0.000005827093,0.9866917,0.01233106,0.0001206264,0.0003720414,0.000007377341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7179579,0.002652492,0.248141,0.0005758558,0.0001463991,0.0001668336,0.001703963,0.003100483,0.02555505],"genre_scores_gemma":[0.9625145,0.0007601538,0.02781927,0.00006468599,0.0000198291,0.0001160106,0.0006212543,0.0002977719,0.007786513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01188146,"threshold_uncertainty_score":0.0236246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186476203468172,"score_gpt":0.1911762383762532,"score_spread":0.1793114763415715,"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."}}