{"id":"W2324424418","doi":"10.3208/jgssp.jpn-051","title":"Influence of shear speed on hydro-mechanical behavior for compacted bentonite","year":2016,"lang":"en","type":"article","venue":"Japanese Geotechnical Society Special Publication","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ashikaga Institute of Technology","keywords":"Bentonite; Geotechnical engineering; Direct shear test; Shear (geology); Suction; Geosynthetic clay liner; Radioactive waste; Triaxial shear test; Geology; Engineering; Materials science; Waste management; Composite material; Mechanical engineering; Soil water","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":[0.000243489,0.0002056948,0.0002807165,0.00005690494,0.00007536427,0.00004523029,0.0003198503,0.0004275686,0.0001008985],"category_scores_gemma":[0.0003750407,0.0001565211,0.0002740163,0.0004583661,0.0001083609,0.0003494256,0.00003706026,0.0002354833,0.00006075226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872608,"about_ca_system_score_gemma":0.00002587508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002053805,"about_ca_topic_score_gemma":0.000002370039,"domain_scores_codex":[0.9985252,0.00001950087,0.0004609598,0.0002987977,0.0003377336,0.000357812],"domain_scores_gemma":[0.9987883,0.0002507616,0.00009541333,0.0004147119,0.0002961675,0.0001546603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003332332,0.001020012,0.0002249898,0.0001707236,0.0002180738,0.000001364207,0.0006842075,0.0221032,0.7824211,0.007903954,0.04435601,0.1405632],"study_design_scores_gemma":[0.01223453,0.002021884,0.3301189,0.0006360602,0.0004389371,0.00003603356,0.0004504794,0.1439384,0.2609807,0.003880997,0.2416307,0.003632462],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959599,0.000009184602,0.0005725379,0.001452477,0.0001739398,0.0006698112,0.0000863471,0.0005295117,0.0005462331],"genre_scores_gemma":[0.9982528,0.00004057285,0.0003804529,0.0001302285,0.0008198363,0.0001039099,0.00007815477,0.00003945301,0.0001545905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5214404,"threshold_uncertainty_score":0.6382746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328682084835473,"score_gpt":0.238380980924345,"score_spread":0.2250941600759903,"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."}}