{"id":"W2110603972","doi":"10.1071/wf05083","title":"Remote sensing of fire regimes in semi-arid Nusa Tenggara Timur, eastern Indonesia: current patterns, future prospects","year":2006,"lang":"en","type":"article","venue":"International Journal of Wildland Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Geography; Grassland; Arid; Fire regime; Moderate-resolution imaging spectroradiometer; Vegetation (pathology); Dry season; Woodland; Physical geography; Population; Advanced very-high-resolution radiometer; Environmental science; Forestry; Ecology; Ecosystem; Cartography; Satellite","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":[0.0006552269,0.0002701606,0.0001735787,0.0007869464,0.0001519587,0.0005885474,0.0004568356,0.0002006308,0.0005493216],"category_scores_gemma":[0.0005153723,0.0001431966,0.0001283352,0.001090235,0.0002023209,0.0004946386,0.0002214189,0.0001469589,0.0001716025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145888,"about_ca_system_score_gemma":0.0002717911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.024014,"about_ca_topic_score_gemma":0.05890055,"domain_scores_codex":[0.9998672,0.00003603364,0.00002137861,0.00003278874,0.00002396122,0.00001863404],"domain_scores_gemma":[0.999566,0.0001137991,0.0001180519,0.00002749849,0.0001083381,0.00006626566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000222313,0.0001982846,0.9090582,0.000295342,0.00005208892,0.0002916602,0.00140649,0.001273431,0.01019078,0.0001010843,0.0005926875,0.0763176],"study_design_scores_gemma":[0.000005120586,0.00004386271,0.9947589,0.00003127485,0.00001386074,0.00009477572,0.001169479,0.002706405,0.0004228214,0.0000217078,0.0007242029,0.000007489297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955792,0.0006416378,0.0004062715,0.0001133226,0.000006599188,0.00002963581,0.0007075994,0.00003440537,0.002481252],"genre_scores_gemma":[0.996472,0.0004622553,0.001688401,0.0000380441,0.000007747792,0.00002664852,0.0006260463,0.000004346416,0.0006744732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.024014,"threshold_uncertainty_score":0.04774845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00493548756094894,"score_gpt":0.2206883912907046,"score_spread":0.2157529037297557,"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."}}