{"id":"W1971920866","doi":"10.1007/s11069-008-9297-4","title":"Significance of nearshore wave parameters in identifying vulnerable zones during storm and normal conditions along Visakhapatnam coast, India","year":2008,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Storm; Geology; Monsoon; Wave height; Significant wave height; Surf zone; Oceanography; Coastal erosion; Bay; Rip current; Plage; Wind wave; Wave model; Shore; Meteorology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001393294,0.0001295348,0.0002003222,0.0001342358,0.0002224634,0.0000252682,0.00009588065,0.0000631135,0.00008639773],"category_scores_gemma":[0.00004347104,0.0001164202,0.00004675362,0.0002514681,0.0001742234,0.0003840199,0.00003851191,0.000341308,0.000005072423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009900426,"about_ca_system_score_gemma":0.00005373606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00871743,"about_ca_topic_score_gemma":0.03247532,"domain_scores_codex":[0.99901,0.00004784699,0.0002338181,0.0002094464,0.0002227693,0.0002760948],"domain_scores_gemma":[0.9995984,0.0001048925,0.00007826388,0.00009963838,0.00003848218,0.00008028917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001223078,0.00002822225,0.9528568,0.0001076121,0.00002462052,0.0002225837,0.001432228,0.003012348,0.0005988936,0.00004472363,0.00005028383,0.04149933],"study_design_scores_gemma":[0.0004004556,0.00005898098,0.9854119,0.00003026667,0.000007723702,0.0001220192,0.000344606,0.01278415,0.0005296957,0.0001244139,0.0000290913,0.0001566734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985517,0.0003918649,0.00001036173,0.00002680597,0.0002646463,0.0001441733,0.0001349265,0.00002260582,0.0004529152],"genre_scores_gemma":[0.9989095,0.0001110098,0.0005219179,0.0000281077,0.00003110005,0.000002048416,0.0001413658,0.000003773817,0.000251175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04134266,"threshold_uncertainty_score":0.9978836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355518214594119,"score_gpt":0.219768623721058,"score_spread":0.2062134415751168,"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."}}