{"id":"W2796068658","doi":"10.1101/296202","title":"Convergence of socio-ecological dynamics in disparate ecological systems under strong coupling to human social systems","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Social dynamics; Ecology; Ecological systems theory; Convergence (economics); Dynamics (music); Resource (disambiguation); Population; Ostracism; Economics; Computer science; Biology; Physics; Sociology; Psychology; Social psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001569684,0.000625536,0.001111295,0.0001693632,0.0003758474,0.0002015391,0.001260725,0.001026259,0.0001438607],"category_scores_gemma":[0.00008257058,0.0005897917,0.000175632,0.0005909075,0.0005508128,0.0001337768,0.001627892,0.0007771505,0.0001953962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003007344,"about_ca_system_score_gemma":0.0001660291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006053,"about_ca_topic_score_gemma":0.0003482704,"domain_scores_codex":[0.9954026,0.0002522114,0.001256549,0.001418201,0.00071322,0.0009572488],"domain_scores_gemma":[0.9977978,0.0001101626,0.0008314174,0.0007869629,0.0001427678,0.0003308853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000425541,0.0007908484,0.6215919,0.0009608194,0.0001218916,0.00009917505,0.00005092644,0.2691385,0.09136534,0.01563933,0.0001985008,2.008123e-7],"study_design_scores_gemma":[0.0003792652,0.0001883745,0.6830848,0.0004397574,0.00005292158,5.130548e-8,0.0001344747,0.3142561,0.0004432225,0.000007010199,0.00005103831,0.0009629621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931731,0.0001140811,0.002761415,0.00005805887,0.001902172,0.001533131,0.0002424934,0.0001257056,0.00008983896],"genre_scores_gemma":[0.999072,0.00003361522,0.000235179,0.00003100482,0.0002341204,0.0003057496,0.000001014593,0.00006963906,0.00001770194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09092212,"threshold_uncertainty_score":0.9996554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165612545110856,"score_gpt":0.2407725206147575,"score_spread":0.2242112661036719,"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."}}