{"id":"W4392520763","doi":"10.1061/9780784485347.030","title":"Automatic Calibration Tool for Efficient Parameter Optimization of SANISAND Models under Cyclic Loading","year":2024,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Calibration; Computer science; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009617826,0.0008045224,0.0004734247,0.0006879341,0.0003922261,0.0006126408,0.0009997431,0.0006307277,0.002600832],"category_scores_gemma":[0.002226637,0.0005312519,0.0005052041,0.0004180743,0.000323083,0.0006620592,0.0007818957,0.0009094052,0.0005082113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004005492,"about_ca_system_score_gemma":0.001040921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004401124,"about_ca_topic_score_gemma":0.006723862,"domain_scores_codex":[0.9997193,0.0000613099,0.00002161407,0.0000440803,0.0001228895,0.00003077207],"domain_scores_gemma":[0.9992107,0.0003467979,0.00009773585,0.0001357633,0.0001906398,0.000018323],"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":[0.00007553933,0.00009593043,0.002819687,0.00008923445,0.00002745854,0.00006632042,0.0001353856,0.896544,0.02193656,0.001915726,0.0009185324,0.07537561],"study_design_scores_gemma":[0.000004259449,0.00001497791,0.000240894,0.000004074737,0.00000316873,0.000009625013,0.00001313043,0.9941012,0.004374199,0.0003045313,0.0009239378,0.000005991372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1063239,0.00008386164,0.8851746,0.0000676793,0.00002078746,0.00009216093,0.0001853325,0.004453053,0.003598577],"genre_scores_gemma":[0.7568787,0.00008721643,0.2407182,0.00002945331,0.000005137833,0.0002119492,0.0004140896,0.0003376507,0.001317687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004401124,"threshold_uncertainty_score":0.008750975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423450655106267,"score_gpt":0.2184001622128417,"score_spread":0.204165655661779,"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."}}