{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000422832,0.001342417,0.0006174266,0.003901538,0.0009032781,0.001161164,0.001094881,0.001489096,0.05961387],"category_scores_gemma":[0.001983305,0.0003596869,0.0007614829,0.003089786,0.0003851275,0.001278407,0.00103589,0.001392212,0.07164129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171677,"about_ca_system_score_gemma":0.001012456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03241435,"about_ca_topic_score_gemma":0.08602413,"domain_scores_codex":[0.9994704,0.00004289503,0.00003619565,0.0001699096,0.0001814897,0.00009908102],"domain_scores_gemma":[0.9987077,0.0002188072,0.00009837473,0.0003069047,0.0005537773,0.0001145673],"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":[0.00004942431,0.00003368928,0.000741113,0.0002379354,0.000009352892,0.00002548555,0.00003854698,0.0001491472,0.0005170716,0.0001889962,0.9906214,0.00738787],"study_design_scores_gemma":[0.00009009685,0.00002439067,0.0148135,0.0002958572,0.00002122284,0.0001215958,0.000478755,0.001480048,0.002181399,0.0007652049,0.979681,0.00004686728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001627968,0.0001807233,0.0004798557,0.000273741,0.0002722754,0.00008688324,0.9861936,0.003664179,0.007220804],"genre_scores_gemma":[0.002400107,0.00008024021,0.002149396,0.0001100232,0.00005310498,0.000100887,0.9912731,0.0005111864,0.00332189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05961387,"threshold_uncertainty_score":0.1994283,"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."}}