{"id":"W4390545530","doi":"10.1785/0120230184","title":"The 2023 New Zealand Ground-Motion Database","year":2024,"lang":"en","type":"article","venue":"Bulletin of the Seismological Society of America","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society","funders":"","keywords":"Moment magnitude scale; Database; Ground motion; Strong ground motion; Seismology; Peak ground acceleration; Metadata; Waveform; Data quality; Computer science; Quality (philosophy); Geology; Seismic hazard; Magnitude (astronomy); Earthquake shaking table; Engineering; Mathematics; Physics; Geometry; Telecommunications","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":[0.002297732,0.001192242,0.0008245285,0.007380601,0.0007484964,0.002074706,0.002244087,0.000588284,0.03350417],"category_scores_gemma":[0.008693836,0.0005247191,0.0006294469,0.007660243,0.0003595597,0.002220217,0.002476203,0.0007185538,0.03072076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003395322,"about_ca_system_score_gemma":0.006381626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3495718,"about_ca_topic_score_gemma":0.268288,"domain_scores_codex":[0.9976841,0.0001080292,0.0003985042,0.000335969,0.001290058,0.0001832128],"domain_scores_gemma":[0.9919919,0.0002772479,0.0005549468,0.001411284,0.005296736,0.0004678155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006373344,0.00009591207,0.02604883,0.001215484,0.0001110312,0.0006837137,0.0006438658,0.004077279,0.00583266,0.008165844,0.6989348,0.2535532],"study_design_scores_gemma":[0.000124182,0.00006468403,0.05665244,0.0003286065,0.00007755861,0.0003713473,0.0003865343,0.007812119,0.00384764,0.002334662,0.9278657,0.0001345022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0197086,0.0007425701,0.01881221,0.0004712882,0.0001764864,0.000797816,0.9005222,0.005186715,0.05358215],"genre_scores_gemma":[0.0243238,0.0005163149,0.01076884,0.00009270135,0.00002388914,0.0005710999,0.950985,0.0005119412,0.01220633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3495718,"threshold_uncertainty_score":0.6950741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053539698183421,"score_gpt":0.2182561280614684,"score_spread":0.2077207310796342,"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."}}