{"id":"W6999935278","doi":"","title":"Earthquake Engineering: Sixth Canadian Conference","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Earthquake and Tsunami Effects","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Feature (linguistics); Field (mathematics); Natural disaster; Epicenter","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000957496,0.0002420343,0.0002034184,0.01001586,0.0001053481,0.00005750384,0.0002896483,0.0001440822,0.00006532893],"category_scores_gemma":[0.00003030244,0.0002951621,0.00008943967,0.00786769,0.00002674041,0.000259077,0.00005150736,0.0002637307,0.0006373041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001664492,"about_ca_system_score_gemma":0.0002889177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1716214,"about_ca_topic_score_gemma":0.3899743,"domain_scores_codex":[0.9988036,0.00002853386,0.0001063606,0.0002628249,0.0001516643,0.000646974],"domain_scores_gemma":[0.9992844,0.00006821113,0.00001586292,0.0003120881,0.00005317909,0.0002662913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001868815,0.0002936803,0.01329158,0.002771714,0.002359864,0.02229511,0.04067279,0.2844361,0.001504569,0.0626549,0.0355001,0.5340328],"study_design_scores_gemma":[0.0003679349,0.00004349116,0.004042761,0.00004101358,0.00002290754,0.000008181883,0.0001093801,0.02930808,0.0004007974,5.995691e-7,0.965305,0.0003498592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5455232,0.000001672561,0.0003907092,0.00007106838,0.00041642,0.0003457045,0.00005768959,0.001774998,0.4514185],"genre_scores_gemma":[0.9885643,0.01100696,0.0001228521,0.00002826796,0.00007335076,0.000002847402,0.00005077617,0.00005076755,0.0000998586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9298049,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445209271942861,"score_gpt":0.1863537856635106,"score_spread":0.171901692944082,"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."}}