{"id":"W4221112532","doi":"10.5194/egusphere-egu22-4271","title":"Forest fire risk assessment with soil data in Croatia","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Vegetation (pathology); Index (typography); Terrain; Wind speed; Normalized Difference Vegetation Index; Weather station; Meteorology; Leaf area index; Geography; Cartography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009673642,0.0003926063,0.0003773223,0.002127259,0.0002183963,0.0009313005,0.000403918,0.0003233455,0.001147494],"category_scores_gemma":[0.001173375,0.0001911262,0.0004755768,0.00194342,0.0001828163,0.0005968121,0.0005689735,0.0002670883,0.0003102154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007589014,"about_ca_system_score_gemma":0.0008033541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04668425,"about_ca_topic_score_gemma":0.05237748,"domain_scores_codex":[0.9995698,0.0001002414,0.00004812761,0.0000956713,0.0001023809,0.00008372292],"domain_scores_gemma":[0.9994069,0.0001178728,0.0001216959,0.00005400452,0.0002324045,0.00006710582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002965627,0.0002620558,0.8756611,0.0001616147,0.0001462936,0.000472626,0.0001153327,0.05256549,0.001400754,0.0007064962,0.001393071,0.06681857],"study_design_scores_gemma":[0.00002954542,0.0001119118,0.8272868,0.0001080304,0.00005765716,0.0001939863,0.0007363778,0.1665161,0.001110909,0.0005555318,0.003259896,0.00003319332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866019,0.0004121471,0.004851547,0.00006027341,0.00002367857,0.00006915061,0.005372075,0.0001121452,0.002497127],"genre_scores_gemma":[0.9911638,0.0001591755,0.003897841,0.00001074022,0.000005944016,0.00002857743,0.004204685,0.0000119869,0.0005172556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04668425,"threshold_uncertainty_score":0.092825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476249893032493,"score_gpt":0.2608104700142962,"score_spread":0.2460479710839713,"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."}}