{"id":"W1027006582","doi":"","title":"Sistem Penilaian Resiko Tingkat Bahaya Kebakaran Hutan Berbasis Jaringan Syaraf Tiruan","year":2011,"lang":"id","type":"article","venue":"Seminar Nasional Informatika (SEMNASIF)","topic":"Forest Ecology and Conservation","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Physics; Geography","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":[0.0004224461,0.000378901,0.0002784987,0.0006446882,0.002423482,0.002620199,0.0003956151,0.0004753674,0.03645618],"category_scores_gemma":[0.0005829033,0.0001669997,0.0001740288,0.001089504,0.000420811,0.0005976178,0.001019649,0.0007661427,0.005291135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005238862,"about_ca_system_score_gemma":0.007721061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.338575,"about_ca_topic_score_gemma":0.5694242,"domain_scores_codex":[0.9997025,0.00002162488,0.00001323051,0.0000469259,0.00010123,0.0001144751],"domain_scores_gemma":[0.9996778,0.00003559066,0.0000210264,0.00001747078,0.0001873309,0.00006085515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005254702,0.0002498741,0.09969413,0.0009513176,0.00007384216,0.002352866,0.01189096,0.0009790594,0.01738693,0.03276714,0.1892455,0.6438829],"study_design_scores_gemma":[0.00002397916,0.00008769549,0.1004599,0.0001963285,0.00004033895,0.0004015925,0.01124819,0.0004081377,0.003197163,0.001261502,0.882638,0.00003720659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3129152,0.01818799,0.003176612,0.009551026,0.001498808,0.0003107554,0.01018248,0.0007962852,0.6433809],"genre_scores_gemma":[0.5267225,0.007973632,0.004719891,0.00107584,0.0001030675,0.0001490391,0.006656649,0.0001549763,0.4524444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.338575,"threshold_uncertainty_score":0.6732085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859746395957714,"score_gpt":0.2091720074892148,"score_spread":0.1605745435296377,"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."}}