{"id":"W2028425617","doi":"10.1115/1.3120409","title":"Inverse Calculation of Uniaxial Stress-Strain Curves From Bending Test Data","year":2009,"lang":"en","type":"article","venue":"Journal of Engineering Materials and Technology","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tikhonov regularization; Inverse; Inverse problem; Bending; Sensitivity (control systems); Mathematical analysis; Regularization (linguistics); Mathematics; Materials science; Geometry; Composite material; Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005922918,0.0005358671,0.0004925135,0.0009062195,0.0002574234,0.0007136763,0.000641772,0.0005273105,0.002975624],"category_scores_gemma":[0.003219306,0.0003863889,0.0002746858,0.0005895178,0.0004077548,0.0006219678,0.000514028,0.00098515,0.0009614506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201477,"about_ca_system_score_gemma":0.0007805107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006489593,"about_ca_topic_score_gemma":0.0011682,"domain_scores_codex":[0.9995995,0.00003525453,0.00002596127,0.00004431796,0.0002730243,0.00002191512],"domain_scores_gemma":[0.9990239,0.0003504304,0.00007096514,0.0002026977,0.0003280155,0.00002401838],"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":[0.0002203248,0.0001489382,0.002342212,0.0005159957,0.00003725356,0.0002554399,0.0005233655,0.07702881,0.695697,0.008169693,0.0007785682,0.2142824],"study_design_scores_gemma":[0.00002032807,0.0001656284,0.006586467,0.00004209162,0.00002479589,0.0005958668,0.000112989,0.6522812,0.3320406,0.004337066,0.003724505,0.00006843099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.167189,0.0001122913,0.8254915,0.00007329116,0.0000295786,0.00009678696,0.0002060931,0.001249157,0.005552458],"genre_scores_gemma":[0.6320247,0.0002930199,0.3624692,0.00003658589,0.00001077583,0.000181197,0.000494933,0.0003959226,0.004093664],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002975624,"threshold_uncertainty_score":0.009954393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196293555219079,"score_gpt":0.2149287834705553,"score_spread":0.2029658479183645,"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."}}