{"id":"W4362720440","doi":"10.1002/ece3.9959","title":"Species richness drives selection of individuals within wetlands based on traits related to acquisition and utilization of light","year":2023,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Ecology; Biology; Ecosystem; Abiotic component; Wetland; Intraspecific competition; Trait; Community; Environmental gradient; Population; Plant community; Species diversity; Habitat","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006082359,0.000160014,0.0002541583,0.0006420552,0.0002964087,0.0004321398,0.0002123651,0.0002337649,0.0008935899],"category_scores_gemma":[0.000766403,0.0002566604,0.0001977478,0.000226189,0.0005181535,0.0001961064,0.000495781,0.000261019,0.0001065398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179293,"about_ca_system_score_gemma":0.0001618535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252287,"about_ca_topic_score_gemma":0.004683927,"domain_scores_codex":[0.9996998,0.0001029885,0.00001332309,0.0001015362,0.00002712754,0.00005514072],"domain_scores_gemma":[0.999231,0.000247233,0.0002022282,0.00007328307,0.00005863434,0.0001876771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004035086,0.000177293,0.7308166,0.00004334051,0.0001874802,0.0001709353,0.0007673766,0.001176136,0.2570184,0.0004674467,0.0001495683,0.008621933],"study_design_scores_gemma":[0.00000682682,0.0000593019,0.9949013,0.000003644292,0.00001960377,0.000089511,0.0001675927,0.002924322,0.001515439,0.0002045193,0.00009821827,0.000009803657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996412,0.00001167242,0.000206172,0.000004491797,5.039839e-7,0.000001687965,0.00001018709,0.000003729752,0.0001203298],"genre_scores_gemma":[0.9996742,0.00000624493,0.0002133242,0.000007240143,9.30691e-7,0.000003002068,0.00002343959,0.000002662969,0.00006889523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001252287,"threshold_uncertainty_score":0.003216684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008684306904580042,"score_gpt":0.228442294493629,"score_spread":0.219757987589049,"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."}}