{"id":"W2087827737","doi":"10.1111/j.1654-1103.2009.01145.x","title":"Plant traits, species pools and the prediction of relative abundance in plant communities: a maximum entropy approach","year":2010,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Trait; Relative species abundance; Generality; Biology; Ecology; Abundance (ecology); Plant species; Principle of maximum entropy; Statistics; Mathematics; Computer science; Psychology","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":[0.00179894,0.0000693981,0.0001693479,0.0001158293,0.0002496229,0.00002742125,0.0002810312,0.00003573361,0.00002006142],"category_scores_gemma":[0.0002267961,0.00004412269,0.00003097501,0.0003252047,0.002610462,0.0006894415,0.00007072627,0.0003494455,0.000001728804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004774136,"about_ca_system_score_gemma":0.00004051124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002488935,"about_ca_topic_score_gemma":0.0004160486,"domain_scores_codex":[0.9989162,0.00009981082,0.0003957727,0.00008815366,0.0003749358,0.0001251115],"domain_scores_gemma":[0.9989914,0.0003830756,0.0004522988,0.00008138108,0.00005468124,0.00003715691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005185935,0.0004247319,0.6508944,0.00006006564,0.0000639831,0.000008740582,0.1267701,0.01875138,0.05238061,0.148413,0.000152031,0.001562437],"study_design_scores_gemma":[0.001004011,0.00009899787,0.9544086,0.00002995369,0.00001377596,0.0000965479,0.003493562,0.03094948,0.0003074326,0.009447671,0.0001005539,0.0000494302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921275,0.00007232761,0.003267453,0.0004894636,0.0001796441,0.0001382622,0.00001024954,0.000002877917,0.003712232],"genre_scores_gemma":[0.996391,0.0001410397,0.003341785,0.00006178164,0.00001591344,0.000004338443,0.00000106309,0.000002097874,0.00004099037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3035142,"threshold_uncertainty_score":0.9618354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638424310480335,"score_gpt":0.2291056007085685,"score_spread":0.2127213576037651,"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."}}