{"id":"W1920693300","doi":"10.1073/pnas.1513125112","title":"Community rescue in experimental metacommunities","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biological dispersal; Ecology; Environmental stress; Community; Biology; Disturbance (geology); Environmental degradation; Diversity (politics); Community structure; Environmental resource management; Ecosystem; Environmental science; Environmental health; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004960168,0.0002712175,0.0002985804,0.0003005602,0.0004787093,0.0003341291,0.000662139,0.0004734762,0.001219933],"category_scores_gemma":[0.0009685373,0.0001630497,0.0002693076,0.0001718664,0.0004862969,0.0003002085,0.001314617,0.001075794,0.0002293733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002798217,"about_ca_system_score_gemma":0.0002302726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00070293,"about_ca_topic_score_gemma":0.001522041,"domain_scores_codex":[0.9994308,0.0001185792,0.00004918293,0.0001618049,0.0001085356,0.0001309702],"domain_scores_gemma":[0.998381,0.0003225134,0.0003085099,0.000425199,0.0001367872,0.000426002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001558023,0.001074674,0.007381189,0.0001051169,0.00004960392,0.0002572535,0.0005922479,0.0009289801,0.9803526,0.0004567738,0.0001575643,0.007085938],"study_design_scores_gemma":[0.0009526738,0.02911342,0.1570937,0.0001279859,0.0001867237,0.001968872,0.001592774,0.0345719,0.7570326,0.00348272,0.01374281,0.0001338244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985452,0.00009731299,0.0007882954,0.00003196455,0.00001259913,0.00003423378,0.000062171,0.00001707258,0.0004111698],"genre_scores_gemma":[0.9944593,0.00005991762,0.003761106,0.0001229683,0.00001185684,0.0001855709,0.0003337393,0.00001813042,0.001047542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001219933,"threshold_uncertainty_score":0.00408107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08208454906621523,"score_gpt":0.3478268839105908,"score_spread":0.2657423348443756,"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."}}