{"id":"W4308509844","doi":"10.3390/rs14225630","title":"Tracking Deforestation, Drought, and Fire Occurrence in Kutai National Park, Indonesia","year":2022,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Oil Palm Production and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"National park; Geography; Habitat destruction; Deforestation (computer science); Wildlife; Biodiversity; Threatened species; Temperate rainforest; Habitat; Environmental science; Ecosystem; Agroforestry; Physical geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003063739,0.0002282883,0.0001740861,0.000968034,0.0002637219,0.0005368418,0.0004256644,0.0001894674,0.0005579412],"category_scores_gemma":[0.000623684,0.0001555806,0.000154388,0.00123059,0.0001476035,0.0004604283,0.0005794907,0.0003107912,0.0002337638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004471669,"about_ca_system_score_gemma":0.0005229182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06265594,"about_ca_topic_score_gemma":0.1254657,"domain_scores_codex":[0.9998192,0.00002419417,0.00002373743,0.00006396401,0.00003511563,0.00003378171],"domain_scores_gemma":[0.9995767,0.00005410252,0.0001286275,0.00003425516,0.0001037205,0.0001026328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004903168,0.00009399733,0.9866087,0.00004446666,0.00004514017,0.0001352222,0.0002895449,0.001229711,0.000555717,0.00005748446,0.002651958,0.008238927],"study_design_scores_gemma":[0.000007007218,0.00001727959,0.9923464,0.00002460996,0.00002120943,0.00009342762,0.0007358674,0.004954934,0.0002916084,0.00003125297,0.001467902,0.000008328654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853753,0.0001363513,0.0002215612,0.00007109028,0.00001148955,0.00002437956,0.01279125,0.00005393908,0.001314724],"genre_scores_gemma":[0.9785983,0.0002055647,0.001613809,0.00004512535,0.00001317505,0.00008364672,0.01883242,0.0000127364,0.0005952719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06265594,"threshold_uncertainty_score":0.1245825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141509691068465,"score_gpt":0.2498169375754003,"score_spread":0.2356659684685538,"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."}}