{"id":"W2986528805","doi":"10.1088/1755-1315/365/1/012027","title":"Development of rapid visual screening form for Nepal based on the data collected from - its 2015 earthquake","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Natural disaster; Ordinal regression; Plan (archaeology); Geography; Risk analysis (engineering); Computer science; Environmental planning; Environmental resource management; Business; Computer security; Environmental science; Machine learning","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005512894,0.0001610455,0.0001899027,0.00008896011,0.0005640606,0.0001374095,0.0004786468,0.0000445901,0.004812903],"category_scores_gemma":[0.00005139239,0.0001127039,0.00003563575,0.0002966256,0.0004421253,0.0005531837,0.00006936842,0.00009904494,0.00008350994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003591638,"about_ca_system_score_gemma":0.000149995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373007,"about_ca_topic_score_gemma":0.001940513,"domain_scores_codex":[0.998373,0.00003869941,0.0002524775,0.0004893531,0.0005142846,0.0003321293],"domain_scores_gemma":[0.9992025,0.0001598954,0.0001217849,0.0003356407,0.00002009158,0.0001600092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008259552,0.0001077771,0.07083227,0.00003286051,0.00007376049,0.000002742202,0.001487769,0.001359102,0.06779221,0.00009791519,0.00008547548,0.8573022],"study_design_scores_gemma":[0.0004461651,0.0003894753,0.714518,0.00002867452,0.00001380767,0.000001614452,0.001538351,0.2332056,0.03990877,0.00001421656,0.009714528,0.0002208423],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975609,0.00006210803,0.0004450956,0.0001944927,0.00009578829,0.000306529,0.0004921186,0.00001507788,0.000827848],"genre_scores_gemma":[0.9949093,0.00003432205,0.004152648,0.000189808,0.00002046763,0.000002550515,0.000373573,0.000003036557,0.0003142307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8570813,"threshold_uncertainty_score":0.9960968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075321684648853,"score_gpt":0.2221152187709509,"score_spread":0.1913620019244624,"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."}}