{"id":"W4401035914","doi":"10.4102/jamba.v16i1.1673","title":"Understanding fire regimes: A biogeographical perspective","year":2024,"lang":"en","type":"article","venue":"Jàmbá Journal of Disaster Risk Studies","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"North-West University","keywords":"Perspective (graphical); Fire regime; Climate change; Environmental resource management; Temporal scales; Environmental science; Ecosystem; Scale (ratio); Geography; Ecology; Computer science; Cartography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006706658,0.0004311631,0.0004864323,0.002510458,0.0005127112,0.003019539,0.0006445365,0.0007117639,0.002319212],"category_scores_gemma":[0.001330007,0.0001935593,0.0003808638,0.002185233,0.002156817,0.00439825,0.0009912541,0.001050333,0.0002968139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009818512,"about_ca_system_score_gemma":0.0008834671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009668746,"about_ca_topic_score_gemma":0.01181024,"domain_scores_codex":[0.9998286,0.00007731824,0.00001328696,0.00004269284,0.00001745381,0.0000208101],"domain_scores_gemma":[0.9993753,0.0003519862,0.00009672179,0.00004029101,0.00007122091,0.00006442748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006515232,0.00009994744,0.1286706,0.002324941,0.0004390844,0.000905774,0.01167561,0.01554545,0.003293877,0.5816156,0.005369859,0.2499941],"study_design_scores_gemma":[0.00001447195,0.00008607226,0.1787862,0.00268852,0.0002490111,0.001439305,0.02164822,0.01329106,0.0007227876,0.5135735,0.2674333,0.00006761769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2525254,0.2187628,0.2864451,0.05248134,0.00143173,0.0001683505,0.002076022,0.0001876761,0.1859215],"genre_scores_gemma":[0.8356188,0.1175955,0.03883215,0.002299859,0.001271795,0.0001022418,0.0005157933,0.00004975556,0.003714148],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009668746,"threshold_uncertainty_score":0.01922494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05089710816664286,"score_gpt":0.2958908769358449,"score_spread":0.2449937687692021,"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."}}