{"id":"W2466371640","doi":"","title":"캐나다 산불 기상지수를 이용한 산불발생확률모형 개발 -강원도 지역 산불발생을 중심으로-","year":2009,"lang":"ko","type":"article","venue":"2. 한국방재학회 논문집","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Dryness; Precipitation; Wind speed; Meteorology; Humidity; Geography; Atmospheric sciences","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":[0.0004662128,0.0002614402,0.0001868217,0.0008110509,0.0004621932,0.000501956,0.000285347,0.0001675815,0.002143692],"category_scores_gemma":[0.001437629,0.00008030711,0.0002774367,0.0009193969,0.0003203123,0.0002122697,0.0002156895,0.0001942539,0.0003426369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666917,"about_ca_system_score_gemma":0.001760471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1269784,"about_ca_topic_score_gemma":0.2805723,"domain_scores_codex":[0.9996899,0.00004978721,0.00002974689,0.0000445792,0.0001340036,0.00005202749],"domain_scores_gemma":[0.9995099,0.00008212715,0.0001205331,0.00001688562,0.0002199103,0.00005052908],"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":[0.0002401226,0.00008318738,0.7398911,0.0002287663,0.00006256557,0.0002217793,0.0006852032,0.003127621,0.003287438,0.001805053,0.003443506,0.2469236],"study_design_scores_gemma":[0.0000182731,0.0001417867,0.9626198,0.00006612411,0.00005916823,0.0004255149,0.001007509,0.01187318,0.003768296,0.001621032,0.01835607,0.00004323546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93199,0.001814096,0.02417584,0.001382815,0.0001579262,0.0003401317,0.004463402,0.0001968744,0.03547896],"genre_scores_gemma":[0.9888338,0.0002861645,0.006770056,0.00005790948,0.00001722332,0.00004797985,0.00072922,0.000004775979,0.003252901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8730217,"threshold_uncertainty_score":0.2524785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068511056015433,"score_gpt":0.3784108624294373,"score_spread":0.271559756827894,"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."}}