{"id":"W2748485849","doi":"10.1190/segam2018-2998505.1","title":"Seismic characterization for underground construction projects using microtremor survey method: A case study in Chengdu Line 18","year":2018,"lang":"en","type":"article","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Microtremor; Seismology; Geology","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":[0.0004170002,0.0004300263,0.0002566492,0.001876495,0.0008294461,0.0004970306,0.0008023232,0.0007310542,0.0007467275],"category_scores_gemma":[0.0009234911,0.0001961886,0.0002153556,0.002753683,0.0003105169,0.0004705227,0.0005801661,0.0002332762,0.0001645227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108262,"about_ca_system_score_gemma":0.0008167206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.061022,"about_ca_topic_score_gemma":0.1253875,"domain_scores_codex":[0.9996116,0.00006651536,0.00002493351,0.00005996659,0.00013358,0.0001035229],"domain_scores_gemma":[0.999366,0.0001321316,0.0001516132,0.00005661034,0.0002131458,0.000080481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003003218,0.0004567386,0.8386662,0.0001629606,0.00005298538,0.02159834,0.008138315,0.02157789,0.01658801,0.0005637149,0.000952039,0.09094249],"study_design_scores_gemma":[0.00001750694,0.0004787465,0.9288799,0.00002424179,0.00003922957,0.001419372,0.01393452,0.05089221,0.002579983,0.0002374793,0.001463283,0.00003354184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989791,0.00001880645,0.000458764,0.00002051709,8.314009e-7,0.00001323698,0.00005177931,0.000009350906,0.0004476908],"genre_scores_gemma":[0.998805,0.00003104486,0.0005939638,0.000003049855,0.000002070164,0.000006884422,0.00006853467,0.000002255666,0.000487175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.061022,"threshold_uncertainty_score":0.1213337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1194796558550981,"score_gpt":0.3381384106047775,"score_spread":0.2186587547496794,"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."}}