{"id":"W4402688888","doi":"10.29173/topo55","title":"The Past and Present of Disaster Risk Reduction in Indonesia","year":2024,"lang":"en","type":"article","venue":"Topophilia","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Disaster risk reduction; Reduction (mathematics); History; Geography; Environmental planning; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001360132,0.0001943703,0.000187293,0.0005451023,0.001672651,0.003983804,0.0003691127,0.0005372062,0.002374742],"category_scores_gemma":[0.001674206,0.0001761701,0.0001446204,0.001168484,0.002734063,0.002994957,0.001738444,0.001591367,0.0002153975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002676485,"about_ca_system_score_gemma":0.00283882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005295657,"about_ca_topic_score_gemma":0.007371088,"domain_scores_codex":[0.9991303,0.0003386796,0.00008212838,0.0001092347,0.0002060191,0.0001335257],"domain_scores_gemma":[0.999233,0.0002482116,0.0002294122,0.00006516323,0.00009710755,0.0001271573],"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":[0.0002691328,0.0003773358,0.09199302,0.002649138,0.0000941824,0.003840568,0.1747035,0.002599156,0.004346206,0.213305,0.02078854,0.4850343],"study_design_scores_gemma":[0.00001165908,0.0002047369,0.2292546,0.002144388,0.0000596989,0.003077004,0.2211093,0.001710741,0.002385795,0.03644468,0.503471,0.0001263146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6576019,0.06600497,0.005771436,0.05544563,0.0009372805,0.00005442967,0.0004356756,0.00007699619,0.2136718],"genre_scores_gemma":[0.9814113,0.01374975,0.0009780992,0.0006701964,0.0001018649,0.00001208568,0.00004390238,0.00001495989,0.003017699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005295657,"threshold_uncertainty_score":0.01941937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017755144935688,"score_gpt":0.2835562835448535,"score_spread":0.2733787320954966,"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."}}