{"id":"W7117675009","doi":"10.14710/jwl.13.3.1-16","title":"STRATEGI PENGURANGAN RISIKO BENCANA BANJIR PADA DAS KIRASA, KABUPATEN BULUKUMBA","year":2025,"lang":"id","type":"article","venue":"Jurnal Wilayah dan Lingkungan","topic":"Water and Land Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Statistical analysis; Routine immunization; High resolution","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":[0.001383255,0.0006841851,0.0004918114,0.0008893582,0.001750252,0.00309441,0.0006629684,0.0008072378,0.01664305],"category_scores_gemma":[0.002130947,0.0003396654,0.0007355735,0.0009402672,0.0008656143,0.001232401,0.001555454,0.001385967,0.001608649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003360013,"about_ca_system_score_gemma":0.007392989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04016303,"about_ca_topic_score_gemma":0.1033257,"domain_scores_codex":[0.99885,0.000356466,0.00004537532,0.0001692874,0.0002773543,0.0003015811],"domain_scores_gemma":[0.9986638,0.0004600266,0.0002025248,0.00005892323,0.0003748027,0.0002399797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001404156,0.0009267956,0.6163337,0.003684201,0.0007164184,0.002311187,0.03385417,0.003467303,0.01613184,0.0247509,0.01576068,0.2806586],"study_design_scores_gemma":[0.00007234488,0.0009230806,0.6968098,0.001866668,0.000715677,0.001118136,0.1389758,0.00253624,0.007786614,0.01023254,0.1387855,0.000177543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.877845,0.005433824,0.005095952,0.004150956,0.0001550054,0.0003956546,0.001502297,0.0001016562,0.1053196],"genre_scores_gemma":[0.9506013,0.003568494,0.005450494,0.0006197853,0.00001869099,0.0003723764,0.0008487468,0.00003837444,0.03848168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04016303,"threshold_uncertainty_score":0.07985854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008840874466487717,"score_gpt":0.2494712867016702,"score_spread":0.2406304122351825,"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."}}