{"id":"W4293225929","doi":"10.21203/rs.3.rs-334904/v1","title":"Shear Strength Assessment of Moist Sands Using Direct Shear Tests","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"FortisBC; Memorial University of Newfoundland","keywords":"Direct shear test; Shear (geology); Geotechnical engineering; Triaxial shear test; Geology; Shear strength (soil); Materials science; Petrology; Soil water; Soil science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005231585,0.0005418956,0.0003178077,0.001425296,0.0002262893,0.0004812314,0.0003027641,0.0003482538,0.001647858],"category_scores_gemma":[0.0008177384,0.0002093471,0.0002403656,0.0006794416,0.0002807972,0.0003099833,0.0004481066,0.0002981298,0.0003971896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050644,"about_ca_system_score_gemma":0.0001629508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008814411,"about_ca_topic_score_gemma":0.002346126,"domain_scores_codex":[0.9994789,0.00006564199,0.00004962352,0.00007403471,0.000291459,0.00004052866],"domain_scores_gemma":[0.9989254,0.0002552008,0.0002707117,0.00006119657,0.0004080281,0.00007952847],"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":[0.0005876313,0.0001485077,0.02739963,0.0002539862,0.00004173612,0.0002876748,0.0002220936,0.002793175,0.9483054,0.0002114203,0.0001363956,0.01961243],"study_design_scores_gemma":[0.00002421898,0.002077665,0.1110549,0.00005126631,0.00009101571,0.0003542067,0.0006000187,0.009990393,0.8733736,0.0002306246,0.002105754,0.00004622095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938723,0.0004165448,0.003993898,0.000009832317,0.00001229852,0.00003076272,0.0002750132,0.00003296381,0.001356373],"genre_scores_gemma":[0.9968708,0.0002028303,0.001893399,0.000008344578,0.000004302755,0.00001148214,0.0001492405,0.000005325744,0.0008542733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001647858,"threshold_uncertainty_score":0.005512655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04400658208891545,"score_gpt":0.376732471442735,"score_spread":0.3327258893538196,"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."}}