{"id":"W2922993950","doi":"","title":"Understanding Forest Fire Disaster Management in Indonesia with Global Perspective","year":2018,"lang":"en","type":"article","venue":"International Conference on Data Mining","topic":"Oil Palm Production and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forest cover; Geography; Emergency management; Environmental resource management; Forest management; Business; Environmental protection; Forestry; Environmental science; Political science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003511267,0.0002106698,0.0001853583,0.0007889734,0.0005441497,0.002499657,0.0002813326,0.000331759,0.001594481],"category_scores_gemma":[0.0006084823,0.0001459582,0.0001984777,0.0009534032,0.0006709366,0.003040781,0.0009426223,0.0006549506,0.0001374663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386152,"about_ca_system_score_gemma":0.001060589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01399454,"about_ca_topic_score_gemma":0.02269613,"domain_scores_codex":[0.9998462,0.00004415945,0.00001074351,0.00002727888,0.00002404418,0.00004749456],"domain_scores_gemma":[0.9997219,0.00007026117,0.0001100379,0.00001299327,0.00003972809,0.00004511371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007043187,0.0004065924,0.7061604,0.0004780022,0.0001107075,0.002806689,0.03935589,0.01791815,0.002358891,0.06466103,0.006158481,0.1595148],"study_design_scores_gemma":[0.000007234626,0.00007941815,0.6410757,0.0005153135,0.00008252953,0.001107355,0.227865,0.03779136,0.001101763,0.04534262,0.0449798,0.00005189766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8970138,0.001783335,0.009530611,0.005375901,0.00005189358,0.00005598377,0.0004068525,0.00003230352,0.08574925],"genre_scores_gemma":[0.9967878,0.0009560915,0.001199857,0.00009755513,0.000009484668,0.000009615572,0.00008470283,0.000005013212,0.0008499146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01399454,"threshold_uncertainty_score":0.02782619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1649162168536158,"score_gpt":0.3513368761156624,"score_spread":0.1864206592620466,"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."}}