{"id":"W2331411434","doi":"10.1061/41084(364)98","title":"The Importance of Performance-Based Geotechnical Parameters for Nonlinear Analysis","year":2009,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Foundation (evidence); Stiffness; Engineering; Retrofitting; Nonlinear system; Field (mathematics); Geotechnical engineering; Earthquake engineering; Sample (material); Quality (philosophy); Civil engineering; Reliability engineering; Structural engineering; Risk analysis (engineering); Computer science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004553221,0.00190776,0.0008047432,0.001315185,0.0005652638,0.002613201,0.001081388,0.001461731,0.002162375],"category_scores_gemma":[0.01593083,0.0006525341,0.0005492171,0.001372148,0.002388889,0.002922578,0.001531494,0.002970884,0.001443589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143155,"about_ca_system_score_gemma":0.001599907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002544575,"about_ca_topic_score_gemma":0.002581166,"domain_scores_codex":[0.9965087,0.001722958,0.0001842137,0.0002707659,0.001240678,0.0000727384],"domain_scores_gemma":[0.9932268,0.003823499,0.0008010772,0.001122515,0.0009644137,0.0000617105],"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":[0.00004682383,0.0001052803,0.002928123,0.0002177279,0.00003834559,0.0001380662,0.0001752676,0.7380277,0.01197678,0.1280777,0.001505955,0.1167623],"study_design_scores_gemma":[0.000009491969,0.0000744175,0.001408272,0.0001430481,0.00002003757,0.0001325167,0.0001004563,0.8999764,0.008250537,0.07235784,0.01743508,0.00009179253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003320525,0.0001821601,0.9903054,0.0001947322,0.000027915,0.00004210624,0.00004761307,0.0002234128,0.00565608],"genre_scores_gemma":[0.36451,0.001199738,0.6275871,0.0001995753,0.0001481526,0.000430524,0.0002516754,0.000870719,0.004802437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004553221,"threshold_uncertainty_score":0.02407998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007653568437842982,"score_gpt":0.2108763168840031,"score_spread":0.2032227484461601,"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."}}