{"id":"W4221078397","doi":"10.1002/ecy.3675","title":"Competitive size asymmetry, not intensity, is linked to species loss and gain in a native grassland community","year":2022,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Conservation Association","keywords":"Competition (biology); Grassland; Coexistence theory; Ecology; Asymmetry; Biology; Plant community; Biodiversity; Species richness; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000535831,0.00009220121,0.0002124616,0.00005977198,0.0005508735,0.000006188385,0.0001641256,0.00004547217,0.001598289],"category_scores_gemma":[0.0003087668,0.00009833316,0.00002004204,0.0002221048,0.0004070707,0.00003916583,0.00135115,0.0004540788,0.00008092114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002609749,"about_ca_system_score_gemma":0.000008200984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004514328,"about_ca_topic_score_gemma":0.04854893,"domain_scores_codex":[0.9989461,0.0004326508,0.0001460948,0.0001865298,0.00008345798,0.0002051571],"domain_scores_gemma":[0.998778,0.001008596,0.00005386497,0.0001053889,0.00001309485,0.00004104874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007127546,0.0001496295,0.9844748,0.000002800417,0.00002153534,0.00002670317,0.01024551,0.0003249803,0.0001410178,0.002845285,0.001623125,0.00007332585],"study_design_scores_gemma":[0.000425362,0.0003546277,0.9856138,0.000001318943,0.000004915608,0.00001072804,0.005079277,0.0003292072,0.00003013279,0.006188419,0.00185953,0.0001027457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706665,0.000006780945,0.00001572015,0.007412717,0.0001598637,0.000208183,0.00003237429,0.00001237456,0.02148554],"genre_scores_gemma":[0.991228,0.00001413078,0.0001868685,0.006949352,0.000007511489,0.00006138937,0.000005174926,0.00000491147,0.001542627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0480975,"threshold_uncertainty_score":0.9993144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601534109043029,"score_gpt":0.2486397176544693,"score_spread":0.2326243765640391,"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."}}