{"id":"W2996420989","doi":"10.29122/jstmb.v11i1.3680","title":"KEMAMPUAN PENANGANAN TERHADAP ANCAMAN BENCANA TSUNAMI DI WILAYAH PESISIR KOTA CILEGON","year":2019,"lang":"id","type":"article","venue":"Jurnal Sains dan Teknologi Mitigasi Bencana","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Forestry; 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":[0.0001989574,0.0005347268,0.0003605227,0.000538139,0.001292096,0.001679872,0.0005329057,0.000462851,0.01929603],"category_scores_gemma":[0.0002676068,0.0002063296,0.0002820421,0.00102886,0.0004236139,0.0005100546,0.00126365,0.000614351,0.001990511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456111,"about_ca_system_score_gemma":0.002190477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05315392,"about_ca_topic_score_gemma":0.1284834,"domain_scores_codex":[0.9997669,0.00002896693,0.000007609999,0.00005440294,0.00006848398,0.00007358387],"domain_scores_gemma":[0.9998684,0.0000188111,0.00001781483,0.000009621788,0.00005804341,0.00002739432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001942272,0.0004887691,0.1447044,0.002508049,0.0003220775,0.007040903,0.01075197,0.002559559,0.2299459,0.0141878,0.0176832,0.567865],"study_design_scores_gemma":[0.00005902428,0.0007206302,0.332859,0.0006471828,0.0002718089,0.002386546,0.0285599,0.001395963,0.09260926,0.003661554,0.5366725,0.0001567107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8147699,0.01082608,0.004062321,0.002178078,0.000268747,0.0001861366,0.002920333,0.000380362,0.164408],"genre_scores_gemma":[0.901999,0.003840839,0.003068622,0.0003552804,0.00002308612,0.0001033802,0.001078628,0.00006006934,0.08947111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05315392,"threshold_uncertainty_score":0.1056891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254715726185336,"score_gpt":0.2024161019292627,"score_spread":0.1898689446674093,"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."}}