{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001902393,0.00009785593,0.00006879147,0.00003106664,0.00007072929,0.00007851631,0.0005242195,0.00002378071,0.001151605],"category_scores_gemma":[0.00003468017,0.0000836127,0.000009000168,0.0001634791,0.0002585203,0.0004434507,0.0004283618,0.00007050295,0.0000942066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114547,"about_ca_system_score_gemma":0.00001692967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003248439,"about_ca_topic_score_gemma":0.002787285,"domain_scores_codex":[0.9988763,0.00002969444,0.0001212739,0.0004854001,0.0003267333,0.0001606305],"domain_scores_gemma":[0.999504,0.00001321756,0.00004734395,0.0003681917,0.00002654206,0.00004071236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000319856,0.0001517456,0.8744823,0.000005087755,0.0000423285,0.00005324956,0.00183894,0.0001047286,0.000006077282,0.1031191,0.001411749,0.01846478],"study_design_scores_gemma":[0.001137958,0.0002511165,0.8589112,0.0000983102,0.00001305497,0.00002186927,0.06667966,0.05458555,0.000007923618,0.01626636,0.001682537,0.0003444773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6778187,0.000001200215,0.004655896,0.003119371,0.000217613,0.0001587047,0.00003941059,0.00002450932,0.3139646],"genre_scores_gemma":[0.9977335,0.000003012308,0.001692664,0.0001460002,0.00005215979,0.000007559652,0.00003572052,0.00000449747,0.0003248243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3199149,"threshold_uncertainty_score":0.9997615,"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."}}