{"id":"W4200578991","doi":"10.1177/87552930211056081","title":"NGA‐Subduction research program","year":2021,"lang":"en","type":"article","venue":"Earthquake Spectra","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"U.S. Geological Survey; California Department of Transportation","keywords":"Subduction; Ground motion; Geology; Seismology; Attenuation; Acceleration; Database; Tectonics; Computer science; Physics","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":[0.001859947,0.0009179832,0.0004402064,0.002062022,0.0006160511,0.001457817,0.001673583,0.0005179086,0.03634726],"category_scores_gemma":[0.002851533,0.0002862645,0.0004383426,0.003278128,0.0002260993,0.0009912159,0.00135097,0.0007624875,0.01832871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00230116,"about_ca_system_score_gemma":0.007823199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04096514,"about_ca_topic_score_gemma":0.03398612,"domain_scores_codex":[0.9991953,0.0001473586,0.00004243372,0.0001616586,0.0003770962,0.00007620448],"domain_scores_gemma":[0.9977132,0.0001965975,0.0001585831,0.00046646,0.00121979,0.0002453767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008934808,0.000288082,0.03980789,0.0008168159,0.00008543678,0.0002959155,0.0004663909,0.009965727,0.003582225,0.02402613,0.6198274,0.2999445],"study_design_scores_gemma":[0.00008500121,0.0001087165,0.02045211,0.000153921,0.000028615,0.0001074059,0.0001878289,0.007845432,0.001708578,0.002815467,0.9664842,0.00002270025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04855391,0.00377391,0.02150278,0.005775005,0.001415052,0.001718966,0.5212161,0.00962803,0.3864163],"genre_scores_gemma":[0.1208003,0.004107121,0.05427698,0.001098001,0.000205913,0.001890158,0.5699005,0.001488318,0.2462327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04096514,"threshold_uncertainty_score":0.1215937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079980872256103,"score_gpt":0.3001624025859607,"score_spread":0.2693625938633996,"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."}}