{"id":"W2230905354","doi":"10.1061/(asce)nh.1527-6996.0000210","title":"Typhoon Wind Hazard Estimation and Mapping for Coastal Region in Mainland China","year":2016,"lang":"en","type":"article","venue":"Natural Hazards Review","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Typhoon; Meteorology; Wind speed; Wind power; Environmental science; Mainland China; Climatology; Track (disk drive); Tropical cyclone scales; Estimation; China; Geography; Computer science; Cyclone (programming language); Geology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003353623,0.0002958169,0.0001645795,0.001393417,0.0001245774,0.0002269371,0.00021716,0.0001038482,0.0003224832],"category_scores_gemma":[0.0004017247,0.0001012187,0.0002778495,0.001080939,0.00006967243,0.0002482445,0.000200679,0.00008492539,0.00004815524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329123,"about_ca_system_score_gemma":0.0007309713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04188633,"about_ca_topic_score_gemma":0.0456435,"domain_scores_codex":[0.99994,0.00001125549,0.000006673869,0.00001513138,0.00001614458,0.00001077275],"domain_scores_gemma":[0.9998279,0.00002663009,0.00006581601,0.0000159484,0.00004564314,0.00001810446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008208296,0.00007082171,0.7503829,0.0003434495,0.0001358708,0.0002949374,0.0003521954,0.05353035,0.003226846,0.0007945718,0.00218807,0.1885978],"study_design_scores_gemma":[0.0000182151,0.0001054226,0.8733374,0.00004822069,0.00009649756,0.00009307396,0.0004559074,0.1218024,0.001037871,0.0004253029,0.002562754,0.00001700939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885296,0.001338131,0.007630005,0.00009220665,0.000008977538,0.00003890396,0.001108885,0.00005274581,0.001200487],"genre_scores_gemma":[0.9942949,0.001075563,0.002758204,0.000006797733,0.000008349752,0.00001794892,0.001411926,0.000002777991,0.0004235854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04188633,"threshold_uncertainty_score":0.08328503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063361421098514,"score_gpt":0.2711602705481759,"score_spread":0.2505266563371907,"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."}}