{"id":"W4312355212","doi":"10.14195/978-989-26-2298-9_23","title":"Ecoregion based attribution analysis of the influence of several fire danger indices on the amount of burned area at a global scale by means of pseudo transfer entropy","year":2022,"lang":"en","type":"book-chapter","venue":"Imprensa da Universidade de Coimbra eBooks","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecoregion; Percentile; Index (typography); Attribution; Homogeneous; Environmental science; Geography; Causality (physics); Climatology; Physical geography; Econometrics; Statistics; Computer science; Mathematics; Ecology; Psychology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003574134,0.0003774693,0.0007577619,0.0001396553,0.0001492744,0.000009888518,0.0009756401,0.0002898146,0.001200769],"category_scores_gemma":[0.00001855954,0.0002849369,0.0006627086,0.0002477449,0.0009068745,0.00008088522,0.0002882487,0.000308951,0.000003674703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219808,"about_ca_system_score_gemma":0.00007886664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003483894,"about_ca_topic_score_gemma":0.001050827,"domain_scores_codex":[0.9973348,0.0002766455,0.0006005489,0.0004654639,0.001027245,0.0002952488],"domain_scores_gemma":[0.9978117,0.0002961424,0.0008816359,0.000873382,0.00004925819,0.00008791415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005057405,0.0008676301,0.1166981,0.001341927,0.008104892,0.00007863854,0.008625447,0.2487146,0.5788252,0.02267973,0.004201786,0.004804658],"study_design_scores_gemma":[0.008824573,0.004259974,0.5711191,0.002678822,0.0178103,0.00005013803,0.0009208306,0.1161482,0.2421827,0.0007793002,0.03189452,0.003331543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807253,0.00002432093,0.0001315797,0.00009039108,0.00005317036,0.0007423344,0.004255867,0.00001573425,0.01396128],"genre_scores_gemma":[0.9961684,0.000008547203,0.00001494039,0.00008405543,0.000005867245,0.000008292137,0.0001232832,0.00002331156,0.003563329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.454421,"threshold_uncertainty_score":0.9999603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007643604168381546,"score_gpt":0.1872686247511606,"score_spread":0.1796250205827791,"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."}}