{"id":"W4220969203","doi":"10.7717/peerj.13179","title":"Disturbance has lasting effects on functional traits and diversity of grassland plant communities","year":2022,"lang":"en","type":"article","venue":"PeerJ","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Species evenness; Trait; Species richness; Plant community; Grassland; Ecology; Disturbance (geology); Biology; Specific leaf area; Biodiversity; Alpha diversity; Gamma diversity; Species diversity; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002333549,0.0001805494,0.0001828402,0.0004040186,0.0004608894,0.0004730855,0.0002806872,0.0002676257,0.0007688997],"category_scores_gemma":[0.0007190747,0.0001412527,0.0001701358,0.0002839486,0.0008014059,0.0002124842,0.0005225975,0.0002079108,0.00007080341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711278,"about_ca_system_score_gemma":0.00046129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04596999,"about_ca_topic_score_gemma":0.1429385,"domain_scores_codex":[0.999814,0.00002586723,0.000009205566,0.00003507411,0.00004750535,0.00006838604],"domain_scores_gemma":[0.9992321,0.0001129911,0.000223673,0.00005063537,0.0001139012,0.0002667702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008198954,0.0001735124,0.8640062,0.00009884305,0.0001951198,0.0004344559,0.0007026481,0.001114994,0.1188779,0.00007391842,0.0001940702,0.01330835],"study_design_scores_gemma":[0.000001234984,0.0000562782,0.9993744,0.000001329898,0.000004421404,0.00003885043,0.00009052536,0.00008441948,0.0002740481,0.00000837894,0.00006462594,0.000001420338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995765,0.0001006224,0.00006290364,0.000006243909,8.066448e-7,0.000002592948,0.00004534652,0.000004193314,0.0002008002],"genre_scores_gemma":[0.9996939,0.00003452629,0.00007672069,0.00000974918,9.92546e-7,0.000002802985,0.00008452446,8.240597e-7,0.00009604686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04596999,"threshold_uncertainty_score":0.09140486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056365994783706,"score_gpt":0.1898741311461883,"score_spread":0.1693104711983512,"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."}}