{"id":"W2415843044","doi":"10.1088/1748-9326/11/6/065002","title":"Future changes in climatic water balance determine potential for transformational shifts in Australian fire regimes","year":2016,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Aeronautics and Space Administration","keywords":"Evapotranspiration; Woodland; Environmental science; Climate change; Dryness; Fire regime; Vegetation (pathology); Vegetation type; Productivity; Plant functional type; Ecology; Climatology; Grassland; Ecosystem; Geology; 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":[0.0004769176,0.0002073112,0.0002633767,0.000354609,0.0003943776,0.001045853,0.0005120714,0.0006376393,0.002308257],"category_scores_gemma":[0.001567805,0.0003340584,0.0006103992,0.0003881229,0.0007866466,0.001030339,0.0008089426,0.0004459636,0.0002009091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339417,"about_ca_system_score_gemma":0.0007876494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06148292,"about_ca_topic_score_gemma":0.06472731,"domain_scores_codex":[0.9998201,0.00004441534,0.00001119217,0.00004133999,0.000021704,0.00006128164],"domain_scores_gemma":[0.9996797,0.00007713035,0.00007498987,0.00002630139,0.00005994763,0.00008203791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003422156,0.0001299772,0.663043,0.00008608197,0.0001845086,0.0004775052,0.001042416,0.2978679,0.01327604,0.008636476,0.0005715321,0.01434237],"study_design_scores_gemma":[0.00001998497,0.0000843033,0.6582206,0.00001231857,0.0000412693,0.000111555,0.0005664438,0.3347954,0.0006655991,0.004258051,0.001191961,0.00003253938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959312,0.00005203846,0.001638159,0.0002130311,0.000003044475,0.000008372798,0.0001058159,0.00001350213,0.002034813],"genre_scores_gemma":[0.9994311,0.00002951068,0.0001972762,0.00001082272,9.848684e-7,0.000003731444,0.00002703887,0.000002595366,0.0002968788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06148292,"threshold_uncertainty_score":0.1222501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429408781521352,"score_gpt":0.2578236246607643,"score_spread":0.2435295368455508,"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."}}