{"id":"W2031496089","doi":"10.1520/jte20120338","title":"Computer-Automated Triaxial Testing System for Assessing and Mitigating Sample Disturbance in a Natural Clay in the Laboratory","year":2013,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disturbance (geology); Geotechnical engineering; Sample (material); Triaxial shear test; Environmental science; Engineering; Geology; Materials science; Composite material; Chemistry; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001124656,0.0005331099,0.0003622965,0.0009881562,0.0002589194,0.0003105051,0.0009890005,0.0002512546,0.004308608],"category_scores_gemma":[0.002087642,0.0001858889,0.0001250908,0.000533145,0.0003740246,0.000346475,0.0003159823,0.0002254484,0.000679062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003970802,"about_ca_system_score_gemma":0.0008300194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109091,"about_ca_topic_score_gemma":0.00404773,"domain_scores_codex":[0.9989047,0.000233561,0.00007483862,0.000193177,0.0005538301,0.00003992778],"domain_scores_gemma":[0.9970455,0.0008036457,0.0003256111,0.0005204292,0.001188405,0.0001163149],"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":[0.00104396,0.0005040892,0.01592798,0.0001650042,0.00003664904,0.0001332389,0.0002751684,0.006144189,0.8536744,0.0003938347,0.0018902,0.1198114],"study_design_scores_gemma":[0.0003701616,0.004415581,0.07891104,0.00005086711,0.00016602,0.0007813225,0.0002226085,0.166839,0.7368753,0.0002692089,0.01098745,0.0001114468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4948106,0.0001427395,0.4893293,0.00008156475,0.00005632185,0.0009963143,0.0008358063,0.01079935,0.002947957],"genre_scores_gemma":[0.8000343,0.0001021502,0.195306,0.00007438692,0.00002717557,0.0008810087,0.0006129306,0.0001622445,0.002799807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004308608,"threshold_uncertainty_score":0.01441371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03733424597659837,"score_gpt":0.2844805321885907,"score_spread":0.2471462862119923,"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."}}