{"id":"W2801721967","doi":"","title":"Hurricane Severity Index: A More Efficient Way of Predicting a Tropical Cyclone's Destructive Potential","year":2010,"lang":"en","type":"article","venue":"","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Tropical cyclone; Index (typography); Climatology; Atlantic hurricane; Meteorology; Tropical cyclone scales; Tropical cyclogenesis; Environmental science; Cyclone (programming language); Geography; Geology; Computer science","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":[0.0004608244,0.0006739724,0.000693623,0.002978967,0.0002313306,0.0008045228,0.0002607268,0.0003565197,0.001880187],"category_scores_gemma":[0.001195358,0.000154394,0.0003460693,0.001207457,0.0001294463,0.0007807732,0.000340072,0.0004222395,0.0005275352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772427,"about_ca_system_score_gemma":0.0004542438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008375343,"about_ca_topic_score_gemma":0.01054181,"domain_scores_codex":[0.999831,0.00003436112,0.00002511689,0.00003105669,0.00005917398,0.00001936657],"domain_scores_gemma":[0.9994094,0.0001795894,0.0001183236,0.00005005515,0.0001697329,0.00007286121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008419317,0.000462223,0.57781,0.0001378877,0.0004769788,0.0001901529,0.0001098494,0.1201069,0.02440505,0.001121869,0.005667498,0.2686696],"study_design_scores_gemma":[0.00008809285,0.0003707631,0.2645001,0.00002082489,0.0001916298,0.00017471,0.0001150511,0.7240795,0.007581119,0.0008244942,0.00198617,0.00006755717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010187,0.0005262459,0.08685836,0.0002256084,0.0001282737,0.0001492852,0.004741525,0.001438754,0.004913262],"genre_scores_gemma":[0.9669706,0.0001417416,0.02888057,0.00004837045,0.0000764725,0.00004006656,0.002443523,0.00003112784,0.001367642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008375343,"threshold_uncertainty_score":0.01665318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006560389764556611,"score_gpt":0.2271559856772025,"score_spread":0.2205955959126459,"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."}}