{"id":"W4400256361","doi":"10.1051/e3sconf/202454401015","title":"Use of computer vision to analyze cyclic loads on the Guamo sand","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Nacional de Colombia, Sede Manizales; Universidad Nacional de Colombia","keywords":"Liquefaction; Actuator; Amplitude; Python (programming language); Computer science; Soil liquefaction; Shaker; Geotechnical engineering; Geology; Vibration; Acoustics; Artificial intelligence; Physics","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":[0.0003819233,0.0005844134,0.0003014961,0.003041922,0.0002519301,0.0007111717,0.0004324097,0.0004399832,0.001614169],"category_scores_gemma":[0.0008457719,0.0001706803,0.0003263539,0.001079619,0.0002793164,0.0003787874,0.0003913523,0.0003725031,0.0004258742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567471,"about_ca_system_score_gemma":0.0005324889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00582007,"about_ca_topic_score_gemma":0.005282629,"domain_scores_codex":[0.9997602,0.00001817851,0.00001243455,0.00007872737,0.00008404368,0.00004652403],"domain_scores_gemma":[0.9997515,0.00006772247,0.00003042406,0.00002007248,0.0001053766,0.00002490377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005625447,0.000376847,0.01173379,0.000432637,0.0001211922,0.0006637326,0.0005474455,0.05549738,0.2153713,0.003176142,0.005162162,0.7063549],"study_design_scores_gemma":[0.00003113804,0.0002649337,0.04092398,0.00004531716,0.00005887305,0.0003925228,0.0004341373,0.882521,0.06623054,0.0027566,0.006278343,0.0000626459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3952052,0.0003976871,0.5848525,0.0001990765,0.0001551693,0.0002701732,0.001101745,0.009041775,0.008776682],"genre_scores_gemma":[0.7905403,0.0001645966,0.2062785,0.00006901575,0.00002366627,0.000163495,0.0007665522,0.0001327583,0.001861094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00582007,"threshold_uncertainty_score":0.01157236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636071909405146,"score_gpt":0.2362799485569526,"score_spread":0.2199192294629011,"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."}}