{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000366881,0.00003631947,0.00004443824,0.00003845523,0.0001254592,0.00008118955,0.0001020782,0.00002139958,0.00001710672],"category_scores_gemma":[0.00001442734,0.00002341736,0.00001702971,0.0001946877,0.0002919,0.0001256638,0.00004434126,0.00005660781,0.000008661677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001292214,"about_ca_system_score_gemma":0.00001236767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000525038,"about_ca_topic_score_gemma":0.0004312424,"domain_scores_codex":[0.9994521,0.00008225223,0.00009582646,0.0001065211,0.0001519756,0.0001113798],"domain_scores_gemma":[0.9998184,0.00004990585,0.00002127762,0.00008075337,0.00000851668,0.00002110534],"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":[0.00006928475,0.0001033157,0.1558009,0.0001712256,0.000049782,0.00001447309,0.1261574,0.00006096341,0.0003064698,0.2106208,0.01221608,0.4944292],"study_design_scores_gemma":[0.0003644387,0.00009680128,0.5801308,0.0002080723,0.00005933316,0.000001912492,0.06892545,0.0007572497,0.00008568731,0.06047159,0.2886141,0.0002845329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703363,0.0009059063,0.000009519252,0.002877323,0.0003987519,0.0001499818,8.60046e-7,0.00001704819,0.02530431],"genre_scores_gemma":[0.9932655,0.0005410101,0.000006218799,0.000003404803,0.0001819399,0.000006838078,2.434523e-7,0.000002480788,0.00599243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4941447,"threshold_uncertainty_score":0.1075518,"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."}}