{"id":"W4394024593","doi":"10.5281/zenodo.4272064","title":"Labels for Emergency Response Imagery from Hurricane Florence, Hurricane Michael, and Hurricane Isaias","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hurricane katrina; Atlantic hurricane; History; Disaster response; Emergency response; Meteorology; Storm; Geography; Emergency management; Natural disaster; Medical emergency; Political science; Law; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005339718,0.0004039239,0.0005622774,0.0001619614,0.002045939,0.0003859703,0.001263209,0.0001735109,0.0506064],"category_scores_gemma":[0.001925023,0.0003447684,0.0001256805,0.0007298977,0.0004541324,0.0001710728,0.0007921885,0.000532786,0.02040921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001890262,"about_ca_system_score_gemma":0.000008535112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141131,"about_ca_topic_score_gemma":0.00002976846,"domain_scores_codex":[0.99676,0.0005889907,0.0004769615,0.0009967014,0.0005182849,0.0006590224],"domain_scores_gemma":[0.9981565,0.0002946819,0.0002570716,0.0004631029,0.0003613436,0.000467338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005323748,0.00007094412,0.00002622828,0.00008620722,0.00009372042,0.00003888,0.0001441386,0.000009454193,0.00006415656,0.00001194786,0.9690965,0.02982544],"study_design_scores_gemma":[0.0004153942,0.0009915307,0.009169288,0.00002930156,0.00008179047,0.00001641122,0.0001731477,0.0001011969,0.000009339186,0.0005663918,0.9880155,0.0004307318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005954988,0.0007191713,0.00006035819,0.00196742,0.0003033849,0.000656641,0.9883953,0.0002841328,0.001658609],"genre_scores_gemma":[0.007964926,0.001571832,0.0002204335,0.000466174,0.0006073758,1.836598e-7,0.9883351,0.0002004683,0.0006335551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0301972,"threshold_uncertainty_score":0.9999005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270427785046779,"score_gpt":0.2298439619295929,"score_spread":0.1971396840791251,"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."}}