{"id":"W1964695767","doi":"10.1680/ijpmg.2001.010107","title":"The ETH Zurich geotechnical drum centrifuge","year":2001,"lang":"en","type":"article","venue":"International Journal of Physical Modelling in Geotechnics","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Centrifuge; Drum; Geotechnical engineering; Engineering; Modular design; Earthquake shaking table; Acceleration; Data acquisition; Geology; Structural engineering; Mechanical engineering; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005930293,0.0002250372,0.0003108463,0.0001968455,0.00005350426,0.00008450454,0.00112184,0.0001764918,0.000007748198],"category_scores_gemma":[0.0001338112,0.000167532,0.0002750482,0.000397539,0.00006115115,0.000208416,0.0001213483,0.001318034,0.00001886818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001937539,"about_ca_system_score_gemma":0.00002810069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009798872,"about_ca_topic_score_gemma":0.000002790978,"domain_scores_codex":[0.9978619,0.0000285677,0.0007573399,0.0001600714,0.0007609482,0.0004311251],"domain_scores_gemma":[0.9988303,0.0004188636,0.0001312863,0.000239231,0.000244104,0.000136221],"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":[0.00003876323,0.00009452953,0.000003470656,0.000005449621,0.00004590685,0.00008815699,0.00002655585,0.9758255,0.001156626,0.00578193,0.0001154851,0.01681763],"study_design_scores_gemma":[0.0003556962,0.000070175,0.00001108341,0.00009802026,0.00001190357,0.00009616406,0.00001141378,0.9011822,0.0006632834,0.0224182,0.07490301,0.0001788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07581171,0.0005553507,0.9206247,0.001443765,0.0008824441,0.0001192103,0.0000043415,0.000196829,0.0003616201],"genre_scores_gemma":[0.9964899,0.001477403,0.001307283,0.00005634604,0.0005885117,0.000007724739,0.000001786751,0.00003882519,0.00003216355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9206783,"threshold_uncertainty_score":0.6831757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00819999674666068,"score_gpt":0.2208170962471775,"score_spread":0.2126170995005169,"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."}}