{"id":"W3118337926","doi":"10.1111/gcb.15517","title":"Climate‐driven range shifts reduce persistence of competitors in a perennial plant community","year":2021,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Biological dispersal; Competition (biology); Climate change; Ecology; Range (aeronautics); Vital rates; Habitat; Species distribution; Population; Interspecific competition; Biology; Environmental science; Population growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004016254,0.0001732779,0.000167636,0.0002086355,0.0002561544,0.0005010353,0.0003099174,0.0002634336,0.0009125098],"category_scores_gemma":[0.0009140752,0.0001194137,0.00028773,0.0001184175,0.0002743817,0.0003949427,0.0005015894,0.0003846529,0.00009340173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003486711,"about_ca_system_score_gemma":0.0001686643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00178887,"about_ca_topic_score_gemma":0.003662809,"domain_scores_codex":[0.9998227,0.00004218437,0.00001337685,0.0000612786,0.00002988255,0.00003061504],"domain_scores_gemma":[0.9992193,0.0002883568,0.0002347886,0.00009508771,0.00005020586,0.0001123694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006266787,0.0004582822,0.3890927,0.0001442345,0.0002624574,0.000175635,0.0004360722,0.03008595,0.5583407,0.0008355328,0.0001898198,0.01935193],"study_design_scores_gemma":[0.00003575436,0.0009450537,0.8461731,0.0000122049,0.0001222943,0.0002791541,0.0004082256,0.1152393,0.03454274,0.00155506,0.0006570924,0.00003010638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995471,0.00001990717,0.0003123029,0.000007026713,5.680291e-7,7.310497e-7,0.00001124011,0.000009040359,0.00009215048],"genre_scores_gemma":[0.999642,0.00001112281,0.0002423457,0.00001081916,6.861643e-7,0.000002303404,0.00003027238,0.000002555751,0.0000577594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00178887,"threshold_uncertainty_score":0.003556907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09834794809861085,"score_gpt":0.2949147097767433,"score_spread":0.1965667616781324,"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."}}