{"id":"W4392580754","doi":"10.5194/egusphere-egu24-8691","title":"Development of wind and fire risk indices for climate-mitigation forestry","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Environmental science; Climate change; Agroforestry; Environmental resource management; Geography; Ecology","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":[0.0001253895,0.0001455063,0.0001454649,0.0001003231,0.00003279702,0.00004656406,0.00007244889,0.0001412947,0.0000251312],"category_scores_gemma":[0.00000742477,0.0001354296,0.00003850214,0.00005215874,0.00001990973,0.0000235657,0.0002842236,0.0001019362,0.000006283884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003405444,"about_ca_system_score_gemma":0.00002223358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000429582,"about_ca_topic_score_gemma":0.00005041088,"domain_scores_codex":[0.9993212,0.000003679783,0.000282039,0.0001775445,0.00009650025,0.0001190579],"domain_scores_gemma":[0.9997541,0.00001504172,0.00005826692,0.0001166606,0.00002179056,0.00003418199],"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":[0.00007683344,0.0001794781,0.04111021,0.1521932,0.003307415,0.000009260067,0.01369527,0.1283968,0.0007680982,0.0977796,0.02505345,0.5374304],"study_design_scores_gemma":[0.001094354,0.00006078548,0.06762537,0.002094821,0.0005038389,0.000001723751,0.001669566,0.7811008,0.02157045,0.02476277,0.09815004,0.001365471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813499,0.0008600314,0.008846839,0.00002755416,0.0005968419,0.0006917526,0.000122918,0.0003182571,0.007185846],"genre_scores_gemma":[0.9733568,0.0004670679,0.0256368,0.000007760132,0.00002968264,0.00007021867,0.0002444671,0.00002996597,0.0001571849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.652704,"threshold_uncertainty_score":0.5522657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144799251809705,"score_gpt":0.2349595295486142,"score_spread":0.2235115370305171,"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."}}