{"id":"W1580955522","doi":"10.1023/a:1022950629065","title":"Seismic Hazard Mitigation for Buildings","year":2003,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Public Works and Government Services Canada","funders":"","keywords":"Natural hazard; Context (archaeology); Risk analysis (engineering); Hazard; Process (computing); Natural (archaeology); Environmental resource management; Computer science; Construction engineering; Engineering; Environmental science; Business","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":[0.0001579633,0.0004228292,0.0002110226,0.0004086072,0.0002952472,0.0003584922,0.0003311271,0.0002707258,0.005166082],"category_scores_gemma":[0.0005261956,0.00011541,0.0001694447,0.0004293345,0.0001505766,0.0003882626,0.000420076,0.0002370178,0.0007573391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533406,"about_ca_system_score_gemma":0.0006135512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005339,"about_ca_topic_score_gemma":0.009393841,"domain_scores_codex":[0.9998431,0.00003748567,0.00000285893,0.00001298595,0.00006438588,0.00003918796],"domain_scores_gemma":[0.9998977,0.00001995155,0.00001825445,0.00001372962,0.00003931438,0.00001099165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003121887,0.0002183592,0.01216681,0.0002681703,0.0001029758,0.0002031993,0.0002525626,0.3285806,0.03244832,0.02928494,0.01374144,0.5824203],"study_design_scores_gemma":[0.00005367175,0.0007723269,0.05334433,0.0001172005,0.0001838543,0.0004899006,0.001424798,0.7973789,0.030635,0.04341339,0.07213811,0.00004852369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.566208,0.003476642,0.2887231,0.001729124,0.0002298002,0.0001204238,0.0006009588,0.001048226,0.1378638],"genre_scores_gemma":[0.9791145,0.0006187562,0.00971348,0.00002297191,0.0000378288,0.00001247955,0.0001777262,0.00002270071,0.0102796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005339,"threshold_uncertainty_score":0.01728225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005757271089417442,"score_gpt":0.2259141418368874,"score_spread":0.2201568707474699,"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."}}