{"id":"W2982676603","doi":"10.24970/bhl.v4i1.86","title":"THE LAW OF FOREST IN INDONESIA: PREVENTION AND SUPPRESSION OF FOREST FIRES","year":2019,"lang":"en","type":"article","venue":"Bina Hukum Lingkungan","topic":"Oil Palm Production and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fire prevention; Environmental science; Forestry; Agroforestry; Geography; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000443334,0.00006847431,0.0001151606,0.00001964225,0.00006529286,0.000009110845,0.0001140324,0.00005092458,0.00001733534],"category_scores_gemma":[0.00006286564,0.00004818118,0.00003281152,0.0001267994,0.0002540805,0.0001187605,0.0001143132,0.00008046533,0.000003787769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003235745,"about_ca_system_score_gemma":0.00001011871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005534979,"about_ca_topic_score_gemma":0.001884666,"domain_scores_codex":[0.9992257,0.00007724239,0.0002232889,0.0001827362,0.0001586232,0.0001323961],"domain_scores_gemma":[0.9995441,0.0000660168,0.0001036772,0.0002460034,0.00001293465,0.00002723284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004329383,0.00007739687,0.9876612,0.00005607603,0.000002143747,3.558341e-7,0.0003398889,0.0003395854,0.005721528,0.003248279,0.00002241068,0.00248787],"study_design_scores_gemma":[0.0003169922,0.0001218531,0.9830248,0.00002700022,0.000004025952,9.761051e-7,0.0004238677,0.0003612369,0.009336088,0.004833586,0.001494036,0.00005555291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980599,0.0000789527,0.000005808152,0.0002754818,0.0001017446,0.0002733313,5.525299e-7,0.000006936401,0.001197329],"genre_scores_gemma":[0.9992523,0.00002631998,0.00005623188,0.000008404268,0.000009982408,0.00000685242,0.000001663426,0.000005419845,0.0006328128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004636386,"threshold_uncertainty_score":0.1964772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005576836001663519,"score_gpt":0.2280044683971563,"score_spread":0.2224276323954927,"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."}}