{"id":"W4403944555","doi":"10.18280/ijsse.140527","title":"Spatial-Temporal Distribution and Vulnerability Level of Tidal Flooding in the Coastal City of Semarang","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Vulnerability (computing); Spatial distribution; Environmental science; Geography; Computer science; Remote sensing; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001367241,0.0001510484,0.000177232,0.001036734,0.0004184686,0.000474419,0.0002794043,0.0002883498,0.001272046],"category_scores_gemma":[0.0004097762,0.0001820478,0.0002699863,0.001647259,0.0003785078,0.0002910277,0.0005451859,0.0001827937,0.0001349585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005016219,"about_ca_system_score_gemma":0.0005597109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03106508,"about_ca_topic_score_gemma":0.0639413,"domain_scores_codex":[0.9998719,0.00002012282,0.00001393346,0.00003168572,0.00001404002,0.0000482759],"domain_scores_gemma":[0.9997693,0.00005324779,0.00007711145,0.00001472877,0.00003619822,0.00004939832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008293457,0.00003994731,0.9930108,0.00001862491,0.00006065303,0.0005700752,0.001762835,0.000337345,0.001003429,0.0001825513,0.0001708968,0.002759788],"study_design_scores_gemma":[0.000001495318,0.00002463909,0.996133,0.000002988066,0.00001208029,0.0001948759,0.003028467,0.0003391725,0.0000482873,0.00005076257,0.0001594104,0.000004906482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996206,0.00001910886,0.00001734484,0.00001799712,7.31785e-7,0.000001670669,0.00009795458,0.000001932968,0.0002225738],"genre_scores_gemma":[0.9996916,0.00002479042,0.00002456315,0.000002681755,0.000001275294,0.000002592327,0.0001214908,5.755354e-7,0.0001303639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03106508,"threshold_uncertainty_score":0.06176853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538535651591293,"score_gpt":0.2360304801643582,"score_spread":0.2206451236484452,"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."}}