{"id":"W2047272290","doi":"10.1785/gssrl.76.2.274","title":"Empirical Ground-motion Relations for ShakeMap Applications in Southeastern Canada and the Northeastern United States","year":2005,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Citation; Icon; Library science; Archaeology; History; Geography; Computer science","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":[0.0009411039,0.0005055592,0.0004227565,0.003736469,0.001301846,0.001518023,0.001321132,0.0004954691,0.01122919],"category_scores_gemma":[0.009011247,0.0002774206,0.0004882175,0.009963188,0.0003396832,0.000764182,0.000790665,0.0008412284,0.002714791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01064187,"about_ca_system_score_gemma":0.01237087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9780766,"about_ca_topic_score_gemma":0.9882101,"domain_scores_codex":[0.999397,0.00003980918,0.00003458339,0.00005903052,0.0003747418,0.00009482913],"domain_scores_gemma":[0.994828,0.0005232475,0.0002017467,0.0002136993,0.004001731,0.0002316404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00017465,0.0001314331,0.381592,0.0003950565,0.0001473336,0.0003583301,0.001118497,0.03658888,0.0005411673,0.006514024,0.3630851,0.2093536],"study_design_scores_gemma":[0.00003427156,0.00003450424,0.7855754,0.0002807913,0.00005730851,0.0001294357,0.003408868,0.06209714,0.0007913868,0.002728447,0.1447944,0.00006793428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4803767,0.005787235,0.01679677,0.003193727,0.0001969146,0.0004528635,0.3248787,0.002166006,0.166151],"genre_scores_gemma":[0.7107427,0.003427,0.01105254,0.0002255812,0.00004281021,0.000163328,0.2338075,0.0005101882,0.04002835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02192342,"threshold_uncertainty_score":0.07721257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0409225329610643,"score_gpt":0.3046663785381034,"score_spread":0.2637438455770391,"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."}}