{"id":"W2915788731","doi":"10.1109/argencon.2018.8645974","title":"Towards the operational implementation of the Fire Weather Index FWI based on the High-Resolution WRF Model","year":2018,"lang":"en","type":"article","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weather Research and Forecasting Model; Meteorology; Index (typography); Environmental science; Computer science; 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":[0.001746597,0.0008050539,0.0006000869,0.0008276019,0.0003865449,0.001471114,0.001766711,0.000568674,0.00292866],"category_scores_gemma":[0.003162726,0.0004335439,0.0006293383,0.0006518768,0.0002260916,0.00135491,0.0007684939,0.00112327,0.001538462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000874219,"about_ca_system_score_gemma":0.002056074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07086567,"about_ca_topic_score_gemma":0.03077982,"domain_scores_codex":[0.9994375,0.00009422661,0.00003922918,0.0001479788,0.0002075669,0.00007347508],"domain_scores_gemma":[0.998706,0.0001138139,0.00008509826,0.0002951196,0.0006497767,0.0001501086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008889757,0.0009423957,0.07578316,0.0003347181,0.000310785,0.0004450208,0.0009587694,0.4334682,0.05880202,0.01047986,0.03442962,0.3831566],"study_design_scores_gemma":[0.00008476483,0.00006921194,0.0120904,0.00004380898,0.00004078558,0.00003415858,0.0000843909,0.9572598,0.01268444,0.001175361,0.01637281,0.00006001482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1221453,0.000199469,0.812416,0.0005254436,0.0002448562,0.0005892073,0.00589763,0.04759874,0.01038339],"genre_scores_gemma":[0.3978415,0.0001792376,0.5832018,0.000076111,0.00007386589,0.0004175261,0.01316201,0.001954319,0.003093654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07086567,"threshold_uncertainty_score":0.1409063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295240618743042,"score_gpt":0.2387510153654997,"score_spread":0.2257986091780693,"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."}}