{"id":"W3093031023","doi":"10.1073/pnas.2009701117","title":"Interspecific competition slows range expansion and shapes range boundaries","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Interspecific competition; Range (aeronautics); Competition (biology); Biological dispersal; Storage effect; Ecology; Climate change; Habitat; Coexistence theory; Biology; Population","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003677307,0.00007247258,0.0001040774,0.00002674105,0.000281532,0.00006132172,0.0003567858,0.00004215959,0.002321413],"category_scores_gemma":[0.0001716342,0.00005018337,0.00004172399,0.0004160792,0.001950654,0.0004307523,0.0002242721,0.00008312421,0.0000193571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006256797,"about_ca_system_score_gemma":0.00000490833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009993065,"about_ca_topic_score_gemma":5.368079e-7,"domain_scores_codex":[0.9987661,0.000004893119,0.0001817713,0.0002033036,0.0007379741,0.0001059671],"domain_scores_gemma":[0.9997043,0.00003298049,0.000174697,0.000003796763,0.000037854,0.00004639605],"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":[0.0001084204,0.00009792588,0.08379863,0.0001303607,0.00001288586,2.306474e-8,0.004171287,0.00001898286,0.6981149,0.1905919,0.02166015,0.001294488],"study_design_scores_gemma":[0.0005695451,0.0001380047,0.8960829,0.0000790746,0.00001677474,0.000008788535,0.006460129,0.001389966,0.06068335,0.01065894,0.02370233,0.0002101707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641011,0.0001135349,0.000001969718,0.01436036,0.00001458082,0.000124997,0.00003595218,0.00001447797,0.02123306],"genre_scores_gemma":[0.9988462,0.00006913245,0.000129784,0.0008760314,0.00003058446,0.000005025788,3.086711e-7,0.000002227214,0.00004066639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8122843,"threshold_uncertainty_score":0.9985906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05684342603327382,"score_gpt":0.2755830776806151,"score_spread":0.2187396516473413,"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."}}