{"id":"W7023590219","doi":"","title":"GIS를 利用한 산불擴散 모델링","year":2014,"lang":"en","type":"other","venue":"Seoul National University Open Repository (Seoul National University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fire ecology; Geographic information system; Wildland–urban interface; Fire protection; Forest structure; Wildfire suppression","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":[0.001082481,0.0003720251,0.000348739,0.001974834,0.0004814918,0.002094236,0.0003117952,0.0002596942,0.005179472],"category_scores_gemma":[0.004099149,0.0001605198,0.0002620384,0.00239587,0.0002735531,0.001588084,0.0003102633,0.000278319,0.001983349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007733484,"about_ca_system_score_gemma":0.0009736101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008102256,"about_ca_topic_score_gemma":0.009137874,"domain_scores_codex":[0.9993659,0.000132006,0.00004395832,0.0001138055,0.0003020956,0.00004224814],"domain_scores_gemma":[0.9977316,0.00114613,0.0004151371,0.0001322733,0.0005012488,0.00007367889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003006534,0.0006203097,0.6382294,0.0004785647,0.00008916816,0.0002570642,0.001056022,0.03317155,0.005808706,0.01035842,0.002549936,0.3070802],"study_design_scores_gemma":[0.00003564565,0.0009176213,0.7623003,0.0002783452,0.0001692594,0.0007863955,0.007972239,0.1632318,0.02541051,0.01017805,0.02859977,0.0001199323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9097292,0.000840164,0.05683808,0.0003144226,0.00003744418,0.0004136491,0.003490674,0.0003864382,0.02794991],"genre_scores_gemma":[0.9292805,0.001097673,0.05963011,0.00005737614,0.00002922064,0.0002021502,0.003569931,0.00007185929,0.006061143],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008102256,"threshold_uncertainty_score":0.01732701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881219140937103,"score_gpt":0.232006698442736,"score_spread":0.213194507033365,"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."}}