{"id":"W1980333591","doi":"10.1016/j.cam.2010.05.048","title":"Coefficient identification in Euler–Bernoulli equation from over-posed data","year":2010,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Mathematics; Bernoulli's principle; Euler's formula; Mathematical analysis; Well-posed problem; Applied mathematics; Identification (biology)","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":[0.0005531158,0.00006253853,0.000123706,0.0001005116,0.00004777516,0.00006575768,0.0001992681,0.00003526723,0.0001558237],"category_scores_gemma":[0.00006116246,0.00005010315,0.00001518037,0.00009007803,0.00004445021,0.0001604748,0.00001596375,0.000164465,0.00001616295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002691447,"about_ca_system_score_gemma":0.00003717358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006937773,"about_ca_topic_score_gemma":0.00001225851,"domain_scores_codex":[0.9991558,0.000009904435,0.0003843821,0.00009710138,0.0002856377,0.00006722185],"domain_scores_gemma":[0.9991258,0.0003654131,0.0003059242,0.0001075042,0.00005314703,0.0000422015],"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":[0.0002571532,0.001177546,0.02852355,0.0002789852,0.0001664202,0.00003172356,0.007746405,0.1755468,0.02302324,0.04046934,0.02498619,0.6977926],"study_design_scores_gemma":[0.0003534098,0.00001946553,0.03775828,0.00002881915,0.00001443392,0.00001688519,0.0002016932,0.8518763,0.0007341694,0.1079863,0.0009285283,0.00008177827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8829948,0.00004524428,0.1156956,0.0003249604,0.0002102116,0.00007100215,0.00004865625,0.00001166319,0.0005978661],"genre_scores_gemma":[0.9021546,0.00001244255,0.09744199,0.0001540005,0.00008275389,1.461923e-7,0.0001445251,0.000001948687,0.000007598106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6977109,"threshold_uncertainty_score":0.2043147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048275991181201,"score_gpt":0.2529919578703678,"score_spread":0.2225091979585558,"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."}}