{"id":"W4380766006","doi":"10.1016/j.autcon.2023.104966","title":"Guided wave and genetic algorithm-based inversion for characterization of pile foundations","year":2023,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"China Scholarship Council; Ministry of Education of the People's Republic of China; Polytechnique Montréal","keywords":"Pile; Inversion (geology); Algorithm; Dispersion relation; Resonance (particle physics); Boundary value problem; Engineering; Acoustics; Mathematical analysis; Computer science; Mathematics; Geology; Physics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008971397,0.00006252612,0.00008088507,0.0002438442,0.00004622961,0.00001876629,0.00001985225,0.00005654038,0.00001208099],"category_scores_gemma":[0.00004128242,0.00007367191,0.00001735145,0.00032016,0.00002951963,0.0001386584,0.000004848036,0.000030715,0.000003435817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004484024,"about_ca_system_score_gemma":0.00002041455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004726628,"about_ca_topic_score_gemma":0.000001445207,"domain_scores_codex":[0.9994854,0.00001295872,0.0002472675,0.00009385616,0.00007775657,0.00008278959],"domain_scores_gemma":[0.9997207,0.00005784625,0.00006568984,0.00006486005,0.0000737928,0.00001710692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005882408,0.00001540774,0.001784544,0.0003340163,0.00001703248,5.73303e-7,0.0002388055,0.04893551,0.5065432,0.000921089,0.0001471171,0.4410568],"study_design_scores_gemma":[0.0004093852,0.00001626118,0.0356207,0.00003566301,0.000009832771,0.000003257318,0.00003825292,0.9454757,0.01714943,0.001073329,0.00010023,0.00006793664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5855213,0.000002822914,0.4137844,0.00004670715,0.0002416651,0.0002155526,0.00002870662,0.0001345545,0.00002427554],"genre_scores_gemma":[0.9528528,0.00003861302,0.04653462,0.000007594669,0.00003308457,0.00005645379,0.0004574714,0.00001252766,0.000006805851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8965402,"threshold_uncertainty_score":0.3004253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595883391133188,"score_gpt":0.2258863021621074,"score_spread":0.2099274682507756,"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."}}