{"id":"W2995379915","doi":"10.1002/ldr.3518","title":"Spatio‐temporal changes in the understory heterogeneity, diversity, and composition after fires of different severities in a semiarid oak (<scp><i>Quercus brantii</i></scp> Lindl.) forest","year":2019,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Understory; Species evenness; Vegetation (pathology); Environmental science; Species richness; Rangeland; Ecology; Agroforestry; Canopy; Biology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000244224,0.0001145706,0.000154989,0.00006743858,0.00008957431,0.00002736606,0.00007755492,0.00005687078,0.00001590245],"category_scores_gemma":[0.000005514231,0.00008353278,0.00001179615,0.00007479769,0.00005068627,0.0001287755,0.0002645245,0.00007024719,0.000007520865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008523518,"about_ca_system_score_gemma":0.000007188235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198997,"about_ca_topic_score_gemma":0.04030024,"domain_scores_codex":[0.9991783,0.00009881394,0.0001631173,0.0001883921,0.0002362272,0.0001351298],"domain_scores_gemma":[0.9996924,0.0001147271,0.00006795827,0.00008732569,0.000004453106,0.00003306701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001966143,0.0000512265,0.9947815,0.00007986629,0.000005126712,0.000003874358,0.003692156,0.00001483851,0.0001333009,0.000008325011,0.0000490377,0.001161075],"study_design_scores_gemma":[0.0005696183,0.00005023765,0.9967167,0.00007552921,0.000003367002,0.000006469647,0.0003160434,0.0007417058,0.0009443618,0.00003857556,0.0004745836,0.00006276814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990926,0.000100077,0.00004151622,0.0001104012,0.00006513194,0.0003939091,0.000006294978,0.000008572586,0.0001814333],"genre_scores_gemma":[0.9995031,0.00005476972,0.0001072028,0.0002158102,0.000006470591,0.00002440929,0.00004602183,0.000004819371,0.0000373959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03910124,"threshold_uncertainty_score":0.9772118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134841461484513,"score_gpt":0.1913533471322821,"score_spread":0.180004932517437,"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."}}