{"id":"W1964362006","doi":"10.1007/s11069-005-3812-7","title":"A Bay–River Coupled Model for Storm Surge Prediction Along the Andhra Coast of India","year":2006,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"W.F. Baird & Associates Coastal Engineers (Canada)","funders":"","keywords":"Storm surge; Bay; Landfall; Surge; Tropical cyclone; Cyclone (programming language); Natural hazard; Climatology; Storm; River mouth; Elevation (ballistics); Geology; Oceanography; Environmental science; Hydrology (agriculture); Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001583998,0.0001008664,0.0001552077,0.00004223149,0.0001713138,0.00003040065,0.0001884461,0.00009164071,0.0001647087],"category_scores_gemma":[0.00004775746,0.00005668084,0.0001076025,0.0001668175,0.0001628267,0.0001492955,0.00001336654,0.0002271636,0.00001179618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007542953,"about_ca_system_score_gemma":0.00006660016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008626117,"about_ca_topic_score_gemma":0.03925486,"domain_scores_codex":[0.9988695,0.00003541336,0.0002119349,0.0001729535,0.0004095397,0.0003006322],"domain_scores_gemma":[0.9994735,0.000185067,0.00005050497,0.0001225435,0.0001026575,0.00006575164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003165274,0.00002831489,0.9704316,0.00003691989,0.00001876609,0.000003053811,0.00008849157,0.003188977,0.000256442,0.0004546113,0.004187767,0.02098856],"study_design_scores_gemma":[0.000280316,0.00006454109,0.6182263,0.000004560552,0.000007673259,0.000002276525,0.00001355802,0.3799796,0.00004052918,0.0005505098,0.0007816622,0.00004852971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969199,0.0007142822,0.0009799686,0.0002562273,0.0002721691,0.0002671737,0.0003750153,0.00002681966,0.0001884696],"genre_scores_gemma":[0.9987805,0.00002460633,0.0003598724,0.00005840889,0.0002234341,0.00000402481,0.0002239743,0.000003112814,0.0003220803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3767906,"threshold_uncertainty_score":0.9979755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266579998321062,"score_gpt":0.2319822994030467,"score_spread":0.2193164994198361,"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."}}