{"id":"W6911384191","doi":"10.5281/zenodo.1222091","title":"Impact Of Forest Fire To Economic And Environment In Riau Province Indonesia","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Haze; Forest ecology; China; Ecosystem; Forest cover","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":[0.0001858013,0.0001352282,0.0001373659,0.0003880981,0.0006402148,0.001034681,0.0002253832,0.0001518493,0.0019052],"category_scores_gemma":[0.0003444556,0.00007638932,0.0001651842,0.0005684982,0.0002704766,0.0002339183,0.0005494753,0.0004530257,0.0001792444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631001,"about_ca_system_score_gemma":0.001652984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09341685,"about_ca_topic_score_gemma":0.1775557,"domain_scores_codex":[0.9998158,0.00004479455,0.0000113105,0.00001499196,0.00003664821,0.00007651689],"domain_scores_gemma":[0.9997848,0.00002780644,0.00006116761,0.000008403304,0.00004448583,0.0000734031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002119978,0.0003659113,0.9404396,0.000224247,0.00009386921,0.00513859,0.00231048,0.00186497,0.001274427,0.001264363,0.004036793,0.04277482],"study_design_scores_gemma":[0.000007249098,0.0000463984,0.983216,0.00005949457,0.00002328284,0.0007762101,0.008337429,0.0006990916,0.0003009443,0.0001699616,0.006354942,0.000009074776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863206,0.0008365189,0.00004741438,0.0005230713,0.0000244935,0.0000103443,0.0003273796,0.000005082473,0.01190513],"genre_scores_gemma":[0.9969336,0.0009721001,0.00005492913,0.00007143329,0.00001221511,0.000005705304,0.0001262792,0.000002892631,0.001820783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09341685,"threshold_uncertainty_score":0.1857463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365281749569571,"score_gpt":0.2279022984555173,"score_spread":0.2142494809598216,"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."}}