{"id":"W4385267348","doi":"10.1007/978-981-99-3874-2_9","title":"Disaster Responses: The Role of Local Organization for the Orang Asli","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Livelihood; Government (linguistics); Preparedness; Local government; Agency (philosophy); Business; Community organization; Emergency management; Economic growth; Public relations; Political science; Geography; Public administration; Sociology; Social science; Agriculture","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":[0.0002973163,0.0003318005,0.0001090116,0.0003487518,0.002838644,0.003893001,0.0004915419,0.0009292844,0.01307139],"category_scores_gemma":[0.0002106256,0.0001176097,0.00008107836,0.00114962,0.001980999,0.00218493,0.001393386,0.001411342,0.001327275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002586536,"about_ca_system_score_gemma":0.003999101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01313921,"about_ca_topic_score_gemma":0.06633244,"domain_scores_codex":[0.9999163,0.00003478585,0.000002261984,0.000009556469,0.00001239831,0.00002461635],"domain_scores_gemma":[0.9999332,0.00001831285,0.000007496802,0.00000398794,0.00001188114,0.00002505186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002109754,0.00005825294,0.0007442303,0.0002385241,0.00000375565,0.0002822219,0.01353034,0.0004522223,0.0005001558,0.7707289,0.09752069,0.1159195],"study_design_scores_gemma":[0.000002392452,0.00002645337,0.001126045,0.000268377,0.000004895874,0.0001266754,0.01764808,0.0003109308,0.0001742837,0.03020943,0.950095,0.000007456565],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01144716,0.02050129,0.0009989052,0.01274885,0.0008231885,0.0000357396,0.00004727856,0.0000386028,0.953359],"genre_scores_gemma":[0.2496655,0.030679,0.002299464,0.002719305,0.0002812154,0.00008874855,0.00008544426,0.00006545212,0.7141159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01313921,"threshold_uncertainty_score":0.04372817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243439031444336,"score_gpt":0.2726417367629058,"score_spread":0.2502073464484624,"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."}}