{"id":"W4393741814","doi":"10.5281/zenodo.4541480","title":"Labels for Emergency Response Imagery from Hurricane Florence, Hurricane Michael, and Hurricane Isaias","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hurricane katrina; Atlantic hurricane; Emergency response; Disaster response; History; Meteorology; Storm; Oceanography; Emergency management; Natural disaster; Geography; Geology; Medical emergency; Political science; Law","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":[0.0003994721,0.001201558,0.000575679,0.00377792,0.000856935,0.001118934,0.000944728,0.001296656,0.06777166],"category_scores_gemma":[0.001846704,0.0003677759,0.0006604374,0.003153668,0.0003399089,0.001300272,0.0009556505,0.001263385,0.07537626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110636,"about_ca_system_score_gemma":0.001000069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02965591,"about_ca_topic_score_gemma":0.08135075,"domain_scores_codex":[0.9995345,0.00003756753,0.00003147383,0.0001516111,0.0001580467,0.00008687632],"domain_scores_gemma":[0.9988034,0.0002055214,0.00009413702,0.0002539337,0.0005351222,0.0001079202],"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":[0.00004345058,0.00002619974,0.0006156981,0.0002384721,0.00000787758,0.00002187117,0.00003945994,0.0001464206,0.0004824305,0.0001893533,0.9911832,0.007005657],"study_design_scores_gemma":[0.00007212519,0.00001986527,0.01225581,0.0002828483,0.0000197897,0.00009938366,0.0004585127,0.001279052,0.001889999,0.00079663,0.9827858,0.00004011356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001506325,0.000184009,0.000568005,0.0002748854,0.0002470662,0.00008408828,0.9847432,0.003959614,0.008432684],"genre_scores_gemma":[0.002534786,0.0001000662,0.002762036,0.0001179555,0.00005574522,0.0001072605,0.9896371,0.0007486846,0.003936528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06777166,"threshold_uncertainty_score":0.2267188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435217213105109,"score_gpt":0.246138323304687,"score_spread":0.2117861511736359,"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."}}