{"id":"W4249954467","doi":"10.21203/rs.3.rs-333435/v1","title":"A Universal Severity Classification for Natural Disasters","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; National Centers for Environmental Information; Alberta Motor Association Foundation for Traffic Safety; National Oceanic and Atmospheric Administration; Alberta Innovates","keywords":"Natural disaster; Natural (archaeology); Computer science; Business; Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001773156,0.0001327688,0.0001802227,0.0002115086,0.00074142,0.000718262,0.0008211384,0.0002190504,0.0001330893],"category_scores_gemma":[0.0006246698,0.0001320193,0.0001754344,0.0004614271,0.0006450169,0.0002655661,0.0008615142,0.0006920453,0.00002260266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004699058,"about_ca_system_score_gemma":0.0007853601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458427,"about_ca_topic_score_gemma":0.004143821,"domain_scores_codex":[0.9966282,0.0007413734,0.00016002,0.0005856474,0.001250969,0.0006337631],"domain_scores_gemma":[0.9983584,0.0003358308,0.00007103587,0.0004267617,0.0006507453,0.000157177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000715217,0.001369793,0.0167431,0.007821376,0.0005536898,0.0001514504,0.3640532,0.0003422866,0.0008007269,0.2895871,0.1207366,0.1971254],"study_design_scores_gemma":[0.0006531946,0.00009878518,0.03334304,0.001065741,0.00004726317,3.074898e-7,0.6898766,0.00558542,0.00004691906,0.006921572,0.261653,0.0007081963],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.804095,0.001360517,0.003017852,0.02627228,0.003897549,0.006663705,0.000166837,0.0003147236,0.1542116],"genre_scores_gemma":[0.9802493,0.0003184447,0.0003805312,0.00002617406,0.0003995412,0.0001523021,0.0002323208,0.00001497645,0.01822643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3258235,"threshold_uncertainty_score":0.6926217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087084129888909,"score_gpt":0.4415983238748284,"score_spread":0.3328899108859375,"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."}}