{"id":"W4361273831","doi":"10.3390/rs15071844","title":"Remote Sensing Analysis of Typhoon-Induced Storm Surges and Sea Surface Cooling in Chinese Coastal Waters","year":2023,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Buoy; Typhoon; Storm surge; Environmental science; Sea surface temperature; Oceanography; Climatology; Tide gauge; Storm; Geology; Tropical cyclone; Meteorology; Sea level; Geography","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":[0.0002018431,0.000232522,0.0001524126,0.0008027175,0.0001785966,0.0002112366,0.0001566271,0.0001259275,0.0003316316],"category_scores_gemma":[0.0002570721,0.0001010349,0.0002306048,0.0006264168,0.0001553577,0.0001676759,0.0001748327,0.00009345403,0.00004887009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772522,"about_ca_system_score_gemma":0.0003888325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03214994,"about_ca_topic_score_gemma":0.03690501,"domain_scores_codex":[0.9999336,0.0000064475,0.000006455448,0.00001825117,0.00001511616,0.0000200671],"domain_scores_gemma":[0.9998453,0.00002225911,0.00004987993,0.00001704251,0.00003846094,0.00002707785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000174285,0.0001051692,0.937638,0.00005998095,0.00008820539,0.0003884456,0.0004304468,0.008972972,0.03292386,0.000155383,0.0005000666,0.01856308],"study_design_scores_gemma":[0.000004889753,0.00002455817,0.9866281,0.00000286987,0.00002038942,0.00002507133,0.0001747817,0.0121699,0.0007906727,0.000022366,0.0001305229,0.00000595831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995747,0.0000154743,0.0001273656,0.000007529999,0.000001916035,0.000002652606,0.0001213605,0.000005643604,0.000143321],"genre_scores_gemma":[0.9994646,0.00002151104,0.0001290005,0.000004738065,0.000003202363,0.00000339828,0.0002941418,0.000001045875,0.00007838245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03214994,"threshold_uncertainty_score":0.06392562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515525280614166,"score_gpt":0.2657511182993782,"score_spread":0.2405958654932365,"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."}}