{"id":"W3110178057","doi":"10.1071/bt20048","title":"A handbook for the standardised sampling of plant functional traits in disturbance-prone ecosystems, with a focus on open ecosystems","year":2020,"lang":"en","type":"article","venue":"Australian Journal of Botany","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kruger (Canada)","funders":"Nelson Mandela University","keywords":"Plant functional type; Biology; Trait; Shrubland; Ecology; Forb; Disturbance (geology); Woodland; Ecosystem; Herbivore; Functional ecology; Grassland","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":[0.0004589603,0.0001048686,0.0002948835,0.00002028555,0.0001211918,0.00002579958,0.0002493887,0.00003732501,0.0001474026],"category_scores_gemma":[0.00004541059,0.00006383649,0.00006277382,0.0001083703,0.00008273893,0.0001445745,0.00003667866,0.0001542764,0.000006141715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049618,"about_ca_system_score_gemma":0.00003743856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000268228,"about_ca_topic_score_gemma":0.001597709,"domain_scores_codex":[0.9990026,0.00005393187,0.0004343229,0.00013499,0.0002165787,0.0001575596],"domain_scores_gemma":[0.9992192,0.0002262336,0.0003980575,0.0000622782,0.00002497424,0.00006928899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02228829,0.0009230606,0.6814046,0.0004808319,0.00206227,0.0002238517,0.01197129,0.171311,0.01888227,0.00294572,0.08320741,0.004299371],"study_design_scores_gemma":[0.01596727,0.00697566,0.9233674,0.001578281,0.0003312192,0.0002561541,0.004544612,0.008236183,0.002301845,0.001975023,0.03378413,0.0006821923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678428,0.0005392274,0.01784573,0.01049415,0.0003448091,0.001790407,0.0004908494,0.000008314354,0.0006437216],"genre_scores_gemma":[0.9988551,0.0000165422,0.0007329975,0.00008628788,0.00005858567,0.00002737508,0.00000154598,0.000007853282,0.0002137831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2419628,"threshold_uncertainty_score":0.2603177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04989555860193679,"score_gpt":0.2652801250808695,"score_spread":0.2153845664789327,"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."}}