{"id":"W7029279829","doi":"","title":"Hurricane Irene (2011): Lessons for Achieving a Weather-Ready Nation","year":2013,"lang":"en","type":"article","venue":"University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storm surge; Storm; Flooding (psychology); National weather service; Service (business); Administration (probate law); Training (meteorology); Coastal flood; Natural disaster","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002799759,0.000336148,0.0005706458,0.000369,0.0008432573,0.0001534767,0.002069809,0.000269013,0.0002279851],"category_scores_gemma":[0.00005723043,0.0004533335,0.0003420578,0.0005359015,0.0002331071,0.003259721,0.0008851611,0.000252029,0.0001568016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003368018,"about_ca_system_score_gemma":0.0004674567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002237841,"about_ca_topic_score_gemma":0.000302744,"domain_scores_codex":[0.9976614,0.0001458012,0.00033147,0.0008146768,0.0005994207,0.0004472637],"domain_scores_gemma":[0.9969616,0.000176243,0.0007579838,0.001077963,0.0005077245,0.0005184739],"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":[0.001051627,0.002346009,0.04101629,0.001402975,0.002139538,0.0004414265,0.06973555,0.001130729,0.1579315,0.06980012,0.4716201,0.1813841],"study_design_scores_gemma":[0.01415679,0.001561756,0.1617237,0.001154023,0.0008879,0.0002465443,0.02119228,0.04867063,0.005503568,0.002402681,0.7391788,0.003321331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4672234,0.000384932,0.5138591,0.01034036,0.0005995617,0.00128493,0.00009604844,0.0004873634,0.005724294],"genre_scores_gemma":[0.7822729,0.0002755988,0.1000263,0.0003684431,0.0001876104,3.953971e-7,0.0002398353,0.00006241551,0.1165664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4138328,"threshold_uncertainty_score":0.9997919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784770967989808,"score_gpt":0.2423374730466844,"score_spread":0.2044897633667863,"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."}}