{"id":"W3193381009","doi":"10.1038/s42003-021-02471-w","title":"Detecting alternative attractors in ecosystem dynamics","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Sveriges Lantbruksuniversitet; Vetenskapsrådet; Leibniz-Gemeinschaft; Svenska Forskningsrådet Formas; University of Guelph","keywords":"Attractor; Dynamical systems theory; Statistical physics; Population; Computer science; Ecology; Biological system; Physics; Mathematics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001432477,0.0002218564,0.0003495594,0.001390939,0.0003594812,0.0007978741,0.0003692452,0.0005288586,0.001218384],"category_scores_gemma":[0.01075509,0.0002255073,0.0004093305,0.0005558634,0.001254465,0.001231245,0.001271452,0.0006136666,0.0001402058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368693,"about_ca_system_score_gemma":0.0002850705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000813555,"about_ca_topic_score_gemma":0.0007356738,"domain_scores_codex":[0.9993825,0.000262416,0.00004267875,0.000163835,0.00009858533,0.00004989409],"domain_scores_gemma":[0.9946374,0.003515113,0.0009699999,0.0005292834,0.000189617,0.0001584983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003970099,0.0001893839,0.290032,0.000431249,0.0004769464,0.0007658391,0.002261163,0.2612179,0.05438432,0.2282432,0.001242663,0.1603585],"study_design_scores_gemma":[0.00002323746,0.0001213502,0.05971203,0.00004959916,0.00005164456,0.000482931,0.0003704691,0.786534,0.006708153,0.1444133,0.001457336,0.0000759606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7734314,0.000210877,0.223556,0.0001892343,0.0000123798,0.0000277491,0.0001882567,0.0002642118,0.002119883],"genre_scores_gemma":[0.979188,0.00004909988,0.02049298,0.00001290097,0.000003884914,0.00001797172,0.00009996477,0.0000113213,0.0001237942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001432477,"threshold_uncertainty_score":0.00757575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000820772134809,"score_gpt":0.2814431922943164,"score_spread":0.2614349845729683,"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."}}