{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008284588,0.0008034962,0.0007181644,0.000281998,0.0009282497,0.0006607854,0.001434866,0.0003298811,0.0005549834],"category_scores_gemma":[0.00005099432,0.0007170322,0.0003973081,0.0008782283,0.0003807391,0.0005534375,0.0007456563,0.001087321,0.000705199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005205766,"about_ca_system_score_gemma":0.0001590739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002880719,"about_ca_topic_score_gemma":0.001316134,"domain_scores_codex":[0.9952316,0.0002921101,0.0009080103,0.001243685,0.00094812,0.001376432],"domain_scores_gemma":[0.9978826,0.0001035402,0.0003378677,0.001051889,0.0000486146,0.0005754699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008768952,0.003698956,0.4582639,0.001989979,0.003025995,0.002440158,0.01042643,0.006579163,0.2053669,0.009769803,0.2255513,0.07201044],"study_design_scores_gemma":[0.002750321,0.0006446715,0.5042378,0.0006998999,0.0009161806,0.00003702457,0.00270827,0.001950605,0.03846991,0.0009185633,0.4448899,0.001776904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9242436,0.001192121,0.000254598,0.003701499,0.002778845,0.0009472024,0.0000838455,0.0001720539,0.06662622],"genre_scores_gemma":[0.9650376,0.0005144512,0.0001408073,0.001438215,0.0004860164,0.00002927056,0.00008667009,0.00006821659,0.03219874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2193386,"threshold_uncertainty_score":0.9995281,"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."}}