{"id":"W4389859027","doi":"10.1080/10298436.2022.2094923","title":"Estimation of permanent deformation behaviour of crushed waste rocks using multistage repeated load triaxial and CBR tests","year":2022,"lang":"en","type":"article","venue":"International Journal of Pavement Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Geotechnical engineering; Deformation (meteorology); Rut; California bearing ratio; Triaxial shear test; Load testing; Structural engineering; Engineering; Geology; Materials science; Subgrade; Composite material; Shear (geology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003277713,0.00009623518,0.0001679673,0.000266869,0.00002700422,0.00001472721,0.0001708317,0.00002359708,0.00001523598],"category_scores_gemma":[0.00004069613,0.0001044667,0.00006638129,0.0000662007,0.000003068491,0.0001908851,0.00008702229,0.0001392566,8.106355e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002923661,"about_ca_system_score_gemma":0.00002793477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000213454,"about_ca_topic_score_gemma":0.000001015606,"domain_scores_codex":[0.9986519,0.00001067669,0.0006529399,0.00005903737,0.0005355891,0.00008990485],"domain_scores_gemma":[0.9994131,0.00002108128,0.0002665488,0.00007443666,0.0001877835,0.0000370446],"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":[0.00001521546,0.0000230037,0.00007486403,0.00003432934,0.0000723916,0.000007298372,0.0004748958,0.7887346,0.2093429,0.00004473462,0.000004377236,0.001171426],"study_design_scores_gemma":[0.0007917592,0.00006703853,0.000103755,0.000113362,0.00003263757,0.00006054984,0.0002112924,0.9134579,0.08503974,0.00002491267,0.00001923579,0.0000778133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8029985,0.0001687115,0.1961147,0.000007724451,0.0006053497,0.00006790263,0.00001867048,0.00001203202,0.000006378487],"genre_scores_gemma":[0.9945957,0.00003842687,0.005268885,0.00000296739,0.00005997167,0.000003077917,0.00001117877,0.00001656374,0.000003213947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915972,"threshold_uncertainty_score":0.4260028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292955833608299,"score_gpt":0.2420984749833189,"score_spread":0.2291689166472359,"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."}}